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Search executive courses and online MBAs by keyword, category and format: fee, duration, institute.
QUERY PARAMS
Words in the course title, institute or tagline.
Example: iim
Job categories the course is filed under, as IDs, slugs or names from Categories, comma-separated.
Examples:
banking-financeGenAI
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Examples:
OnlineBlended
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Allowed values: 0-50
{
"courses": [
{
"id": 2943,
"title": "IIT Patna | MBA in Finance",
"link": "https://www.iimjobs.com/course/IIT-Patna%20%7C%20MBA%20in%20Finance-2943",
"institute": "IIT Patna",
"accreditation": null,
"tagline": "Master strategic financial leadership, risk management, and data-driven decision making",
"fee": {
"text": "₹ 3,50,000/-",
"min": 350000,
"max": 350000,
"currency": "INR",
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"duration": "2 Years",
"duration_months": 24,
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"id": 13,
"name": "Banking & Finance"
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"name": "Consulting"
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"skills": [
{
"id": 362,
"name": "Finance and Accounts",
"link": "https://www.iimjobs.com/k/finance-and-accounts-jobs"
},
{
"id": 1013523,
"name": "Finance Transformation",
"link": "https://www.iimjobs.com/k/finance-transformation-jobs"
},
{
"id": 2199,
"name": "VAT",
"link": "https://www.iimjobs.com/k/vat-jobs"
},
{
"id": 239,
"name": "Taxation",
"link": "https://www.iimjobs.com/k/taxation-jobs"
},
{
"id": 178,
"name": "Financial Analysis",
"link": "https://www.iimjobs.com/k/financial-analysis-jobs"
},
{
"id": 365,
"name": "Financial Modeling",
"link": "https://www.iimjobs.com/k/financial-modeling-jobs"
},
{
"id": 154,
"name": "Financial Reporting",
"link": "https://www.iimjobs.com/k/financial-reporting-jobs"
},
{
"id": 496,
"name": "Financial Operations",
"link": "https://www.iimjobs.com/k/financial-operations-jobs"
},
{
"id": 368,
"name": "Financial Consulting",
"link": "https://www.iimjobs.com/k/financial-consulting-jobs"
},
{
"id": 204,
"name": "Accounting",
"link": "https://www.iimjobs.com/k/accounting-jobs"
}
],
"description_html": "<p><b>Program Overview:<br/></b></p><p>MBA in Finance from IIT Patna is a tailored degree program for working professionals who are in the early stages of their career. Through the course, you will learn to analyse company reports, forecast business trends, maximise stock values and profitability, minimise financial risks and manage capital investment. This degree program from IIT Patna will provide new-age managers with the perfect tools and skills to progress in their careers and develop domain expertise that will be useful in the new age workplaces.<br/></p><p><b>Skills Gained Through The Program:<br/></b></p><ul><li>Leadership Skills</li><li>Analytical And Business Decisions</li><li>Business Fundamentals</li><li>Financial Analysis And Risk Management</li><li>Strategic Thinking</li></ul><p><b>Program Objectives</b><br/><ul style=\"\"><li style=\"\" class=\"\"><b>Understand</b> A capital market's changing domestic and global investment scenario</li><li style=\"\"><b>Develop</b> A capital market's changing domestic and global investment scenario</li><li style=\"\"><b>Acquire</b> In-depth knowledge of portfolio management</li><li style=\"\"><b>Perform </b>Effectively in the dynamic socioeconomic and business ecosystem</li><li style=\"\"><b>Gain</b> Requisite knowledge, skills, and right attitude for the global environment</li></ul></p>",
"description_text": "Program Overview:\n\nMBA in Finance from IIT Patna is a tailored degree program for working professionals who are in the early stages of their career. Through the course, you will learn to analyse company reports, forecast business trends, maximise stock values and profitability, minimise financial risks and manage capital investment. This degree program from IIT Patna will provide new-age managers with the perfect tools and skills to progress in their careers and develop domain expertise that will be useful in the new age workplaces.\n\nSkills Gained Through The Program:\n- Leadership Skills\n- Analytical And Business Decisions\n- Business Fundamentals\n- Financial Analysis And Risk Management\n- Strategic Thinking\n\nProgram Objectives\n- Understand A capital market's changing domestic and global investment scenario\n- Develop A capital market's changing domestic and global investment scenario\n- Acquire In-depth knowledge of portfolio management\n- Perform Effectively in the dynamic socioeconomic and business ecosystem\n- Gain Requisite knowledge, skills, and right attitude for the global environment",
"eligibility_html": "<p><b>Program Eligibility</b></p><p><ul><li><b>2+</b> years of industry experience</li><li>Undergraduate degree (any discipline)</li><li>Bachelor's degree with 50% or equivalent CGPA</li><li><b>Working Professionals</b></li></ul></p>",
"eligibility_text": "Program Eligibility\n- 2+ years of industry experience\n- Undergraduate degree (any discipline)\n- Bachelor's degree with 50% or equivalent CGPA\n- Working Professionals",
"highlights_html": "<p><b>Program Structure<br/></b></p><p><b>Semester 1: Modules</b></p><ul><li>Managerial Economics</li><li>Introduction to Financial Accounting</li><li>Management Concept Processes and Systems</li><li>Marketing Management</li><li>E-Commerce</li><li>Communication and Negotiation Skills</li></ul><p><b>Semester 2: Modules</b></p><ul><li>Organizational Behaviour and Design</li><li>Business Statistics & Analysis</li><li>Operations and Manufacturing Management</li><li>Financial Management</li><li>Global Supply Chain Management</li><li>Business Law</li></ul><p><b>Semester 3: Modules</b></p><ul><li>Human Resource Management and Analytics</li><li>Security Analysis and Portfolio Management</li><li>Business Ethics & Corporate Governance</li><li>Strategic Management</li><li>Financial Derivatives</li><li>Taxation for Business</li></ul><p><b>Semester 4: Modules</b></p><p><ul><li>Financial Analysis and Reporting</li><li>Project Management</li><li>Strategic Financial Management</li><li>Financial Engineering</li><li>Project Work</li></ul></p>",
"highlights_text": "Program Structure\n\nSemester 1: Modules\n- Managerial Economics\n- Introduction to Financial Accounting\n- Management Concept Processes and Systems\n- Marketing Management\n- E-Commerce\n- Communication and Negotiation Skills\n\nSemester 2: Modules\n- Organizational Behaviour and Design\n- Business Statistics & Analysis\n- Operations and Manufacturing Management\n- Financial Management\n- Global Supply Chain Management\n- Business Law\n\nSemester 3: Modules\n- Human Resource Management and Analytics\n- Security Analysis and Portfolio Management\n- Business Ethics & Corporate Governance\n- Strategic Management\n- Financial Derivatives\n- Taxation for Business\n\nSemester 4: Modules\n- Financial Analysis and Reporting\n- Project Management\n- Strategic Financial Management\n- Financial Engineering\n- Project Work",
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{
"id": 2942,
"title": "IIT Patna | M.Tech In Cloud Computing",
"link": "https://www.iimjobs.com/course/IIT-Patna%20%7C%20M.Tech%20In%20Cloud%20Computing-2942",
"institute": "IIT Patna",
"accreditation": null,
"tagline": "The sky's the limit with cloud computing",
"fee": {
"text": "₹ 4,20,000/-",
"min": 420000,
"max": 420000,
"currency": "INR",
"is_gst_extra": false
},
"duration": "2 Years",
"duration_months": 24,
"delivery_method": "Blended- Online",
"work_experience": {
"min_years": 1,
"max_years": 30
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"locations": [
"Anywhere"
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"categories": [
{
"id": 16,
"name": "Consulting"
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{
"id": 15,
"name": "IT & Systems"
},
{
"id": 25,
"name": "GenAI Roles"
}
],
"skills": [],
"description_html": "<p><b>Program Overview</b></p><p>Cloud Computing has come of age after corporations like Amazon introduced the first of its kind of cloud services in 2006. There are signs that subscription to cloud services by the local companies will soon skyrocket. The M.Tech in Cloud Computing is a two year Postgraduate Program which deals with services like servers, storage, networking, software and more. The M.Tech Cloud Computing curriculum is divided into four semesters of six months each. The basic course structure of M.Tech Cloud Computing includes Cloud Security, Web Application Developments, Data Centre Networking, Cloud Architectures, etc.<br/></p><p><b>Skills Gained Through The Program</b></p><ul><li>CLOUD SECURITY</li><li>MACHINE LEARNING</li><li>CLOUD ARCHITECTS</li><li>DATABASE SKILLS</li><li>LEARN DEVOPS</li></ul><p><b>Program Objectives</b></p><p><ul><li><b>Understand </b>The need for cloud, virtualization, and security issues in cloud computing</li><li><b>Develop </b>The principles of data warehousing and data mining</li><li><b>Acquire </b>The principles of data warehousing and data mining</li><li><b>Identify </b>Complex routed and switched networks</li><li><b>Identify Analyse </b>Various advanced data structures and algorithms to solve real life problems</li></ul></p>",
"description_text": "Program Overview\n\nCloud Computing has come of age after corporations like Amazon introduced the first of its kind of cloud services in 2006. There are signs that subscription to cloud services by the local companies will soon skyrocket. The M.Tech in Cloud Computing is a two year Postgraduate Program which deals with services like servers, storage, networking, software and more. The M.Tech Cloud Computing curriculum is divided into four semesters of six months each. The basic course structure of M.Tech Cloud Computing includes Cloud Security, Web Application Developments, Data Centre Networking, Cloud Architectures, etc.\n\nSkills Gained Through The Program\n- CLOUD SECURITY\n- MACHINE LEARNING\n- CLOUD ARCHITECTS\n- DATABASE SKILLS\n- LEARN DEVOPS\n\nProgram Objectives\n- Understand The need for cloud, virtualization, and security issues in cloud computing\n- Develop The principles of data warehousing and data mining\n- Acquire The principles of data warehousing and data mining\n- Identify Complex routed and switched networks\n- Identify Analyse Various advanced data structures and algorithms to solve real life problems",
"eligibility_html": "<p><p><b>Course Eligibility<br/></b></p><ul><li><b>1+ year</b> of work experience (or currently employed)</li><li>Minimum 60% marks or 6.5 CGPA (or equivalent)</li><li>B.Tech / BE / MSc (CS/IT) / MCA / ME / M.Tech or equivalent</li><li>Working Professionals</li></ul></p>",
"eligibility_text": "Course Eligibility\n- 1+ year of work experience (or currently employed)\n- Minimum 60% marks or 6.5 CGPA (or equivalent)\n- B.Tech / BE / MSc (CS/IT) / MCA / ME / M.Tech or equivalent\n- Working Professionals",
"highlights_html": "<p></p><p><b>Course Structure</b></p><p><b>Semester 1: Course Name</b></p><ul><li>Design and Analysis of Algorithms</li><li>Foundations of Computer Systems</li><li>Probability and Statistics</li><li>Technical Writing and Soft Skill</li><li>DE-1(Elective 1)</li></ul><p><b>Semester 2: Course Name</b></p><ul><li>Artificial intelligence</li><li>Numerical Linear Algebra and</li><li>Optimization Techniques</li><li>DE-2 (Elective 2)</li><li>DE-3 (Elective 3)</li><li>IKS</li></ul><p><b>Semester 3: Course Name</b></p><ul><li>DE-4 (Elective 4)</li><li>DE-5 (Elective 5)</li><li>Project I</li></ul><p><b>Semester 4: Course Name</b></p><ul><li>DE-6 (Elective 6)</li><li>DE-7 (Elective 7)</li><li>Project II</li></ul><b>ELECTIVE I: Course Name</b><br/><ul><li>Application development framework</li><li>Python for cloud computing</li><li>Advanced Cloud Computing</li></ul><p><b>ELECTIVE II & III: Course Name</b></p><ul><li>Cloud Computing Architecture</li><li>Cloud Security</li><li>Advanced Edge Computing</li><li>Parallel Algorithms</li><li>Data Virtualization & Dashboards</li></ul><p><b>ELECTIVES IV & V: Course Name</b></p><ul><li>Cloud strategy planning and Management</li><li>Cloud Based DevOps</li><li>Distributed Systems</li><li>Machine learning for cloud computing</li></ul><p><b>ELECTIVES VI & VII: Course Name</b></p><p></p><ul><li>Meta Learning</li><li>Service-oriented Architecture and Web security</li><li>Reinforcement Learning</li><li>Data Warehousing</li></ul><p></p>",
"highlights_text": "Course Structure\n\nSemester 1: Course Name\n- Design and Analysis of Algorithms\n- Foundations of Computer Systems\n- Probability and Statistics\n- Technical Writing and Soft Skill\n- DE-1(Elective 1)\n\nSemester 2: Course Name\n- Artificial intelligence\n- Numerical Linear Algebra and\n- Optimization Techniques\n- DE-2 (Elective 2)\n- DE-3 (Elective 3)\n- IKS\n\nSemester 3: Course Name\n- DE-4 (Elective 4)\n- DE-5 (Elective 5)\n- Project I\n\nSemester 4: Course Name\n- DE-6 (Elective 6)\n- DE-7 (Elective 7)\n- Project II\n\nELECTIVE I: Course Name\n- Application development framework\n- Python for cloud computing\n- Advanced Cloud Computing\n\nELECTIVE II & III: Course Name\n- Cloud Computing Architecture\n- Cloud Security\n- Advanced Edge Computing\n- Parallel Algorithms\n- Data Virtualization & Dashboards\n\nELECTIVES IV & V: Course Name\n- Cloud strategy planning and Management\n- Cloud Based DevOps\n- Distributed Systems\n- Machine learning for cloud computing\n\nELECTIVES VI & VII: Course Name\n- Meta Learning\n- Service-oriented Architecture and Web security\n- Reinforcement Learning\n- Data Warehousing",
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{
"id": 2941,
"title": "IIM Calcutta | Advanced Programme In Smart Manufacturing Leadership",
"link": "https://www.iimjobs.com/course/IIM-Calcutta%20%7C%20Advanced%20Programme%20In%20Smart%20Manufacturing%E2%80%A8%20Leadership-2941",
"institute": "IIM Calcutta",
"accreditation": null,
"tagline": "Lead the Industry 5.0 Revolution",
"fee": {
"text": "₹2,74,000 + GST",
"min": 274000,
"max": 274000,
"currency": "INR",
"is_gst_extra": true
},
"duration": "8 Months",
"duration_months": 8,
"delivery_method": "Online",
"work_experience": {
"min_years": 8,
"max_years": 30
},
"locations": [
"Anywhere"
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"categories": [
{
"id": 16,
"name": "Consulting"
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{
"id": 19,
"name": "SCM & Operations"
}
],
"skills": [
{
"id": 771,
"name": "Mfg Head",
"link": "https://www.iimjobs.com/k/mfg-head-jobs"
},
{
"id": 714,
"name": "Mfg Operations",
"link": "https://www.iimjobs.com/k/mfg-operations-jobs"
},
{
"id": 826,
"name": "EPC Operations",
"link": "https://www.iimjobs.com/k/epc-operations-jobs"
},
{
"id": 386,
"name": "Mfg/Auto Marketing",
"link": "https://www.iimjobs.com/k/mfg-auto-marketing-jobs"
},
{
"id": 213,
"name": "Mfg/Auto Sales",
"link": "https://www.iimjobs.com/k/mfg-auto-sales-jobs"
},
{
"id": 906,
"name": "Auto Operations",
"link": "https://www.iimjobs.com/k/auto-operations-jobs"
},
{
"id": 752,
"name": "Supply Chain Head",
"link": "https://www.iimjobs.com/k/supply-chain-head-jobs"
},
{
"id": 20,
"name": "Supply Chain",
"link": "https://www.iimjobs.com/k/supply-chain-jobs"
},
{
"id": 691,
"name": "Plant Operations",
"link": "https://www.iimjobs.com/k/plant-operations-jobs"
},
{
"id": 758,
"name": "Plant Head",
"link": "https://www.iimjobs.com/k/plant-head-jobs"
}
],
"description_html": "<p><p><b>ABOUT THE PROGRAMME</b></p><p>Manufacturing organizations are rapidly embracing digital technologies to improve efficiency, resilience, sustainability, and competitiveness. Yet technology alone is not enough. Organizations need leaders who can translate innovation into business impact. The <b>Advanced Programme in Smart Manufacturing Leadership from IIM Calcutta</b> is designed to help experienced professionals understand, evaluate, and lead Industry 5.0 initiatives across manufacturing enterprises. Participants will explore <b>Artificial Intelligence, Industrial IoT, Robotics, Digital Twins, Smart Factories, Cloud Computing, Data Analytics, and Sustainable Manufacturing</b> while <b>developing strategic capabilities</b> required to lead enterprise-wide digital transformation. The programme combines academic rigour, real-world business applications, case discussions, and a capstone business project to <b>prepare leaders for the future of manufacturing.<br/><br/></b></p><p><b>WHAT YOU WILL LEARN</b></p><ul><li>Understand Industry 5.0 and Smart Manufacturing ecosystems</li><li>Design digital transformation strategies for manufacturing organizations</li><li>Apply AI, IoT, Robotics, Digital Twins and Cloud technologies</li><li>Build resilient manufacturing operations and future ready supply chains</li><li>Lead organizational change and digital adoption</li><li>Create a Digital Transformation Roadmap for your own organization</li></ul><p><b>PROGRAMME AT A GLANCE</b></p><ul><li>Duration: 8 Months</li><li>Learning Journey: 11 learning module</li><li>Business Project: Applied Capstone</li><li>Campus Experience: 4-Day Immersion</li></ul><p><b>Learning Experience Highlights</b></p><ul><li>Live Interactive Sessions</li><li>Case Discussions</li><li>Industry Experts</li><li>Faculty-Led Learning</li><li>Business Project</li><li>Executive Education Alumni Status</li></ul><b></b></p>",
"description_text": "ABOUT THE PROGRAMME\n\nManufacturing organizations are rapidly embracing digital technologies to improve efficiency, resilience, sustainability, and competitiveness. Yet technology alone is not enough. Organizations need leaders who can translate innovation into business impact. The Advanced Programme in Smart Manufacturing Leadership from IIM Calcutta is designed to help experienced professionals understand, evaluate, and lead Industry 5.0 initiatives across manufacturing enterprises. Participants will explore Artificial Intelligence, Industrial IoT, Robotics, Digital Twins, Smart Factories, Cloud Computing, Data Analytics, and Sustainable Manufacturing while developing strategic capabilities required to lead enterprise-wide digital transformation. The programme combines academic rigour, real-world business applications, case discussions, and a capstone business project to prepare leaders for the future of manufacturing.\n\nWHAT YOU WILL LEARN\n- Understand Industry 5.0 and Smart Manufacturing ecosystems\n- Design digital transformation strategies for manufacturing organizations\n- Apply AI, IoT, Robotics, Digital Twins and Cloud technologies\n- Build resilient manufacturing operations and future ready supply chains\n- Lead organizational change and digital adoption\n- Create a Digital Transformation Roadmap for your own organization\n\nPROGRAMME AT A GLANCE\n- Duration: 8 Months\n- Learning Journey: 11 learning module\n- Business Project: Applied Capstone\n- Campus Experience: 4-Day Immersion\n\nLearning Experience Highlights\n- Live Interactive Sessions\n- Case Discussions\n- Industry Experts\n- Faculty-Led Learning\n- Business Project\n- Executive Education Alumni Status",
"eligibility_html": "<p><p><b>Eligibility Criteria</b></p><ul><li>Working professionals with <b>8+ years</b> of experience, who are graduates (10+2+3) or postgraduates in any discipline with at least 50% marks at graduation/post-graduation level.</li></ul><p><b>Ideal Profiles</b></p><ul><li>CXOs and Vice Presidents</li><li>Heads of Manufacturing and Plant Managers</li><li>Leaders in Operations, Supply Chain, Quality and Process Excellence</li><li>Consultants and Solution Providers in Smart Manufacturing</li><li>Entrepreneurs in the manufacturing sector</li></ul></p>",
"eligibility_text": "Eligibility Criteria\n- Working professionals with 8+ years of experience, who are graduates (10+2+3) or postgraduates in any discipline with at least 50% marks at graduation/post-graduation level.\n\nIdeal Profiles\n- CXOs and Vice Presidents\n- Heads of Manufacturing and Plant Managers\n- Leaders in Operations, Supply Chain, Quality and Process Excellence\n- Consultants and Solution Providers in Smart Manufacturing\n- Entrepreneurs in the manufacturing sector",
"highlights_html": "<p><b>PROGRAMME CURRICULUM</b></p><p><b>MODULE 01: Manufacturing in the Industry 5.0 Era</b></p><ul><li>Evolution of Manufacturing Systems, from I4.0 to I5.0</li><li>Envisioning Phygital Systems</li><li>Smart Factory Ideation & Execution</li><li>Future of Global Manufacturing Networks</li></ul><p><b>MODULE 02: Advanced Automation & Operations</b></p><ul><li>Internet of Things (IoT) & Industrial IoT (IIoT)</li><li>Robotics, Cobots & Autonomous Systems</li><li>Additive Manufacturing (3D Printing)</li><li>Autonomous Manufacturing Systems</li><li>Digital Twins & Cyber-Physical Integration</li></ul><p><b>MODULE 03: AI, Data & Digital Intelligence</b></p><ul><li class=\"\">Decision Intelligence for Operational Performance</li><li class=\"\">Predictive AI for Quality Control & Maintenance</li><li class=\"\">Digital Twins & Simulation Modeling</li><li class=\"\">Responsible AI for Execution Systems (MES)</li></ul><p><b>MODULE 04: Connected Factories & Smart Planning</b></p><ul><li>Edge Computing & Low-latency Networks</li><li>Smart Production Planning & Schedulers</li><li>Autonomous Operations & Real-time Tracking</li></ul><p><b>MODULE 05: Supply Chain 5.0 & Resilience</b></p><ul><li>Digital Supply Chains & Blockchain Apps</li><li>Sustainable Manufacturing & Green Sourcing</li><li>Risk Management & Geopolitical Resilience</li></ul><p><b>MODULE 06: Leading the Next Gen of Manufacturing</b></p><ul><li class=\"\">Building Your Digital Manufacturing Strategy</li><li class=\"\">Curating a Digital Transformation Blueprint</li><li class=\"\">Leading Org Change & Workforce Readiness</li><li class=\"\">Business Model Innovation with Smart Tech</li></ul><b>MODULE 07: Sustainable & Green Manufacturing</b><br/><ul><li>ESG for Manufacturing</li><li>Circular Economy</li><li>Net Zero Operations</li><li>Green Supply Chains</li><li>Sustainable Production Systems</li><li>Climate Risk & Reporting</li></ul><p><b>MODULE 08: Innovation and Product Management</b></p><ul><li>Design Thinking</li><li>New Product Innovation and Management</li><li>Product Lifecycle Management</li></ul><p><b>MODULE 09: Finance for Manufacturing Leaders</b></p><ul><li>Financial Analysis: Cost & Works Accounting, Activity-Based Costing</li><li>Project Finance and ROI</li><li>Capital Allocation and Financial Decision-Making</li></ul><p><b>MODULE 10: The Future of Work</b></p><ul><li>Cybersecurity for Smart Manufacturing</li><li>Consumer Protection and Platform-Based Production</li><li>Data Privacy and Data Governance</li><li>Agentic AI and Governance</li><li>Responsible Leadership</li></ul><p><b>CAMPUS MODULE: Campus Visit at IIM Calcutta, Joka</b></p><ul><li>In-Campus Classes</li><li>Business Case</li><li>Ideation Workshops & Reflection</li></ul><p><b>CAPSTONE: Business Project</b></p><p></p><ul><li>Participants will work in groups or individually to design a Digital Transformation Roadmap for a real manufacturing organization.</li><li>Assess maturity using an assessment framework for Smartness</li><li>Prepare a roadmap for digital transformation based on programme areas</li><li>Project is mentored by IIM Calcutta faculty</li></ul><p></p>",
"highlights_text": "PROGRAMME CURRICULUM\n\nMODULE 01: Manufacturing in the Industry 5.0 Era\n- Evolution of Manufacturing Systems, from I4.0 to I5.0\n- Envisioning Phygital Systems\n- Smart Factory Ideation & Execution\n- Future of Global Manufacturing Networks\n\nMODULE 02: Advanced Automation & Operations\n- Internet of Things (IoT) & Industrial IoT (IIoT)\n- Robotics, Cobots & Autonomous Systems\n- Additive Manufacturing (3D Printing)\n- Autonomous Manufacturing Systems\n- Digital Twins & Cyber-Physical Integration\n\nMODULE 03: AI, Data & Digital Intelligence\n- Decision Intelligence for Operational Performance\n- Predictive AI for Quality Control & Maintenance\n- Digital Twins & Simulation Modeling\n- Responsible AI for Execution Systems (MES)\n\nMODULE 04: Connected Factories & Smart Planning\n- Edge Computing & Low-latency Networks\n- Smart Production Planning & Schedulers\n- Autonomous Operations & Real-time Tracking\n\nMODULE 05: Supply Chain 5.0 & Resilience\n- Digital Supply Chains & Blockchain Apps\n- Sustainable Manufacturing & Green Sourcing\n- Risk Management & Geopolitical Resilience\n\nMODULE 06: Leading the Next Gen of Manufacturing\n- Building Your Digital Manufacturing Strategy\n- Curating a Digital Transformation Blueprint\n- Leading Org Change & Workforce Readiness\n- Business Model Innovation with Smart Tech\n\nMODULE 07: Sustainable & Green Manufacturing\n- ESG for Manufacturing\n- Circular Economy\n- Net Zero Operations\n- Green Supply Chains\n- Sustainable Production Systems\n- Climate Risk & Reporting\n\nMODULE 08: Innovation and Product Management\n- Design Thinking\n- New Product Innovation and Management\n- Product Lifecycle Management\n\nMODULE 09: Finance for Manufacturing Leaders\n- Financial Analysis: Cost & Works Accounting, Activity-Based Costing\n- Project Finance and ROI\n- Capital Allocation and Financial Decision-Making\n\nMODULE 10: The Future of Work\n- Cybersecurity for Smart Manufacturing\n- Consumer Protection and Platform-Based Production\n- Data Privacy and Data Governance\n- Agentic AI and Governance\n- Responsible Leadership\n\nCAMPUS MODULE: Campus Visit at IIM Calcutta, Joka\n- In-Campus Classes\n- Business Case\n- Ideation Workshops & Reflection\n\nCAPSTONE: Business Project\n- Participants will work in groups or individually to design a Digital Transformation Roadmap for a real manufacturing organization.\n- Assess maturity using an assessment framework for Smartness\n- Prepare a roadmap for digital transformation based on programme areas\n- Project is mentored by IIM Calcutta faculty",
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"id": 2940,
"title": "IIT Delhi | Advanced Certificate in Al Product Management and Leadership",
"link": "https://www.iimjobs.com/course/IIT-Delhi%20%7C%20Advanced%20Certificate%20in%20Al%20Product%20Management%20and%20Leadership-2940",
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"description_html": "<p><b>From product thinking to Al product leadership</b></p><p>This is not a prompt-engineering workshop. You move from product first principles (discovery, framing, roadmapping, go-to-market) into what Al products actually turn on: <b>LLMs and RAG, </b><b>evaluation and guardrails, LLMOps, AI UX and Al economics.</b></p><p><b>A DAY IN THE PROGRAMME</b></p><ul><li>Product Foundations</li><li>Roadmap, Lifecycle & GTM</li><li>Al Foundations for PMs</li><li>Evaluation, Guardrails & Ops</li><li>AI UX, Economics & Analytics</li><li>Simulations & Leadership</li></ul><p><b>You will not just use Al. You will ship it as a product.</b></p><p>Every module ends in an artefact you can put in front of a hiring panel. By the end you can take an Al product from opportunity and data through evaluation, deployment and unit economics, and defend its governance and business case.</p><p><b>SIX THINGS YOU WILL BE ABLE TO D0</b></p><ul><li>Find and frame Al opportunities</li><li>Build a defensible roadmap</li><li>Spec systems built on LLMS</li><li>Evaluate and guardrail Al</li><li>Design AI UX and the flywheel</li><li>Lead responsibly, at scale</li></ul><p><b>FINAL CAPSTONE<br/></b></p><p><b>Timed team build of a working Al product.</b></p><p>Across four domains - fintech or SaaS, enterprise workflow, consumer platform and a regulated industry -you ship a working Al product with an evaluation and monitoring plan and a responsible-Al governance plan, presented at the campus immersion.</p>",
"description_text": "From product thinking to Al product leadership\n\nThis is not a prompt-engineering workshop. You move from product first principles (discovery, framing, roadmapping, go-to-market) into what Al products actually turn on: LLMs and RAG, evaluation and guardrails, LLMOps, AI UX and Al economics.\n\nA DAY IN THE PROGRAMME\n- Product Foundations\n- Roadmap, Lifecycle & GTM\n- Al Foundations for PMs\n- Evaluation, Guardrails & Ops\n- AI UX, Economics & Analytics\n- Simulations & Leadership\n\nYou will not just use Al. You will ship it as a product.\n\nEvery module ends in an artefact you can put in front of a hiring panel. By the end you can take an Al product from opportunity and data through evaluation, deployment and unit economics, and defend its governance and business case.\n\nSIX THINGS YOU WILL BE ABLE TO D0\n- Find and frame Al opportunities\n- Build a defensible roadmap\n- Spec systems built on LLMS\n- Evaluate and guardrail Al\n- Design AI UX and the flywheel\n- Lead responsibly, at scale\n\nFINAL CAPSTONE\n\nTimed team build of a working Al product.\n\nAcross four domains - fintech or SaaS, enterprise workflow, consumer platform and a regulated industry -you ship a working Al product with an evaluation and monitoring plan and a responsible-Al governance plan, presented at the campus immersion.",
"eligibility_html": "<p><b>Diploma holders and graduates : </b>Applicants are expected to hold a diploma or graduation (10+2+3) from a university recognised by UGC, AICTE, DEC, AIU, or a state government.</p>",
"eligibility_text": "Diploma holders and graduates : Applicants are expected to hold a diploma or graduation (10+2+3) from a university recognised by UGC, AICTE, DEC, AIU, or a state government.",
"highlights_html": "<p><b>CURRICULUM MODULES 1-14</b></p><p><b>First the product craft. Then the AI stack</b></p><p><b>Modules 1-14 42 hours live</b></p><p><b>MODULES 01-04 12H LIVE IITD FACULTY</b></p><ul><li><b>Product Foundations: </b>Product thinking product discovery problem framing product roadmapping.</li></ul><p><b>MODULES 05-07 9H LIVE IITD FACULTY</b></p><ul><li><b>Lifecycle, Alignment & GTM: </b>Product lifecycle management stakeholder alignment go-to-market strategy.</li></ul><p><b>MODULES O8-09 6H LIVE INDUSTRY EXPERT</b></p><ul><li><b>Al Foundations & Building with LLMs: </b>ML and GenAl foundations for PMs building with LLMs: prompting, RAG and agents.</li></ul><p><b>MODULES 10-11 6H LIVE INDUSTRY EXPERT</b></p><ul><li><b>Evaluation, Guardrails & Ops: </b>Evaluation and guardrails for probabilistic systems MLOps and LLMOps.</li></ul><p><b>MODULE 12 3H LIVE INDUSTRY EXPERT</b></p><ul><li><b>AI UX: </b>Designing for probabilistic output: confidence, correction, fallback and trust patterns.</li></ul><b>MODULES 13-14 6H LIVE INDUSTRY EXPERT</b><ul><li><b>Data Flywheel, Al Economics & Analytics: </b>The data flywheel and Al economics Al analytics and the measurement layer.</li></ul><b>MID-PROGRAMME MILESTONE: </b>You can scope, cost and evaluate an Al feature<br/><p></p><p><b>Modules 15-30 48 hours + immersion.</b></p><p><b>MODULES 15-19 15H LIVE IITD FACULTY</b></p><ul><li><b>Case Simulations: </b>Consumer Al enterprise Al fintech healthtech SaaS and edtech: five sector simulations, decided under time pressure.</li></ul><p><b>MODULE 20 3H LIVE IITD FACULTY</b></p><ul><li><b>Product Leadership: </b>Setting Al product strategy, structuring teams, defending investment cases, owning portfolio outcomes.</li></ul><p><b>PRACTICALS 21-24 12H</b></p><ul><li><b>Build, Evaluate, Govern: </b>One-sprint live LLM prototype evaluation and monitoring plan for a live Al feature responsible-Al audit and governance plan timed team build of a working Al product.</li></ul><p><b>PRACTICALS 25-27 9H</b></p><ul><li><b>Ship Across Sectors: </b>Al-native feature for a fintech or SaaS product GenAl assistant or copilot for an enterprise workflow personalisation or recommendation system for a consumer platform.</li></ul><p><b>PRACTICALS 28-29 6H</b></p><ul><li><b>Regulated & Responsible: </b>Agentic automation for a regulated industry (banking, health, government) Al product teardowns and responsible-Al redesign of an existing product.</li></ul><p><b>PRACTICAL 30 3H</b></p><ul><li><b>Founder & Al-Builder Masterclasses: </b>Sessions with founders and Al builders on what actually gets funded, shipped and scaled.</li></ul><p>- <b>CAMPUS IMMERSION - A day at IIT Delhi</b></p>",
"highlights_text": "CURRICULUM MODULES 1-14\n\nFirst the product craft. Then the AI stack\n\nModules 1-14 42 hours live\n\nMODULES 01-04 12H LIVE IITD FACULTY\n- Product Foundations: Product thinking product discovery problem framing product roadmapping.\n\nMODULES 05-07 9H LIVE IITD FACULTY\n- Lifecycle, Alignment & GTM: Product lifecycle management stakeholder alignment go-to-market strategy.\n\nMODULES O8-09 6H LIVE INDUSTRY EXPERT\n- Al Foundations & Building with LLMs: ML and GenAl foundations for PMs building with LLMs: prompting, RAG and agents.\n\nMODULES 10-11 6H LIVE INDUSTRY EXPERT\n- Evaluation, Guardrails & Ops: Evaluation and guardrails for probabilistic systems MLOps and LLMOps.\n\nMODULE 12 3H LIVE INDUSTRY EXPERT\n- AI UX: Designing for probabilistic output: confidence, correction, fallback and trust patterns.\n\nMODULES 13-14 6H LIVE INDUSTRY EXPERT\n- Data Flywheel, Al Economics & Analytics: The data flywheel and Al economics Al analytics and the measurement layer.\n\nMID-PROGRAMME MILESTONE: You can scope, cost and evaluate an Al feature\n\nModules 15-30 48 hours + immersion.\n\nMODULES 15-19 15H LIVE IITD FACULTY\n- Case Simulations: Consumer Al enterprise Al fintech healthtech SaaS and edtech: five sector simulations, decided under time pressure.\n\nMODULE 20 3H LIVE IITD FACULTY\n- Product Leadership: Setting Al product strategy, structuring teams, defending investment cases, owning portfolio outcomes.\n\nPRACTICALS 21-24 12H\n- Build, Evaluate, Govern: One-sprint live LLM prototype evaluation and monitoring plan for a live Al feature responsible-Al audit and governance plan timed team build of a working Al product.\n\nPRACTICALS 25-27 9H\n- Ship Across Sectors: Al-native feature for a fintech or SaaS product GenAl assistant or copilot for an enterprise workflow personalisation or recommendation system for a consumer platform.\n\nPRACTICALS 28-29 6H\n- Regulated & Responsible: Agentic automation for a regulated industry (banking, health, government) Al product teardowns and responsible-Al redesign of an existing product.\n\nPRACTICAL 30 3H\n- Founder & Al-Builder Masterclasses: Sessions with founders and Al builders on what actually gets funded, shipped and scaled.\n- CAMPUS IMMERSION - A day at IIT Delhi",
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"description_html": "<p><b>Why This Programme, right now</b></p><p>Marketing runs on a new operating system. GenAI has re-tooled brand strategy, content, paid media, lifecycle and analytics - every lever a marketer pulls. This programme is the credential IIM Tiruchirappalli has built for the marketers, growth leaders and founders who will own brand and growth in the agentic-AI era.</p><p><b>The marketing playbook is being re-written. Right now</b></p><p>Four converging signals from India's marketing landscape. Read them together and the conclusion is hard to escape: AI fluency is no longer a bonus skill for marketers - it is the new baseline for anyone who owns a brand, a funnel, a growth number, or a lifecycle.</p><p><b>What this means for Marketing</b></p><p>Enterprise AI spend has tripled in a year. India's digital marketing market is scaling 14 in a decade. But fewer than half of marketers can translate AI tools into strategy. The premium for the professional who can move from \"I use ChatGPT for copy\" to \"<b>I design and deploy AI-driven marketing systems</b>\" is measurable, expanding, and concentrates in one of the country's fastest-growing functions.</p><p><b>Where is Hiring is happening - India</b></p><p>AI-powered marketing roles are being posted across India's fastest-growing industries - D2C and consumer brands, quick-commerce and e-commerce, SaaS and fintech, BFSI and NBFCs, edtech, media and entertainment, retail and FMCG, healthtech, mobility and consumer apps.</p><p>Roles include <b>AI Marketing Lead, Growth Marketing Manager, Performance Marketing - AI, MarTech Lead, Brand & GenAI Strategist, and Retention Marketing Manager</b>.</p>",
"description_text": "Why This Programme, right now\n\nMarketing runs on a new operating system. GenAI has re-tooled brand strategy, content, paid media, lifecycle and analytics - every lever a marketer pulls. This programme is the credential IIM Tiruchirappalli has built for the marketers, growth leaders and founders who will own brand and growth in the agentic-AI era.\n\nThe marketing playbook is being re-written. Right now\n\nFour converging signals from India's marketing landscape. Read them together and the conclusion is hard to escape: AI fluency is no longer a bonus skill for marketers - it is the new baseline for anyone who owns a brand, a funnel, a growth number, or a lifecycle.\n\nWhat this means for Marketing\n\nEnterprise AI spend has tripled in a year. India's digital marketing market is scaling 14 in a decade. But fewer than half of marketers can translate AI tools into strategy. The premium for the professional who can move from \"I use ChatGPT for copy\" to \"I design and deploy AI-driven marketing systems\" is measurable, expanding, and concentrates in one of the country's fastest-growing functions.\n\nWhere is Hiring is happening - India\n\nAI-powered marketing roles are being posted across India's fastest-growing industries - D2C and consumer brands, quick-commerce and e-commerce, SaaS and fintech, BFSI and NBFCs, edtech, media and entertainment, retail and FMCG, healthtech, mobility and consumer apps.\n\nRoles include AI Marketing Lead, Growth Marketing Manager, Performance Marketing - AI, MarTech Lead, Brand & GenAI Strategist, and Retention Marketing Manager.",
"eligibility_html": "<p><ul><li>Profile 1 - Marketing and Growth Leaders - 2+ years of experience.</li><li>Profile 2 - Entrepreneurs and Operators with a marketing edge</li></ul></p>",
"eligibility_text": "- Profile 1 - Marketing and Growth Leaders - 2+ years of experience.\n- Profile 2 - Entrepreneurs and Operators with a marketing edge",
"highlights_html": "<p><ul><li><b>Module 1</b> - Foundations of Modern Marketing in the AI Era</li><li><b>Module 2</b> - Brand Strategy and Positioning in the GenAI Era</li><li><b>Module 3</b> - Content Engineering with Generative AI</li><li><b>Module 4</b> - Marketing Analytics, Measurement & Attribution</li><li><b>Mid - Term Capstone</b> - Presentation & Review</li><li><b>Module 5</b> - Consumer Insights, Research & Customer Lifecycle Management</li><li><b>Module 6</b> - Performance Marketing & AI-Driven Paid Media</li><li><b>Module 7</b> - AI and Agentic AI in Marketing</li><li><b>Module 8</b> - Growth Marketing, Experimentation & Funnel Optimisation</li><li><b>Module 9 </b>- Responsible AI in Marketing</li><li><b>Term Capstone</b> - Final Presentation & Review Panel</li></ul></p>",
"highlights_text": "- Module 1 - Foundations of Modern Marketing in the AI Era\n- Module 2 - Brand Strategy and Positioning in the GenAI Era\n- Module 3 - Content Engineering with Generative AI\n- Module 4 - Marketing Analytics, Measurement & Attribution\n- Mid - Term Capstone - Presentation & Review\n- Module 5 - Consumer Insights, Research & Customer Lifecycle Management\n- Module 6 - Performance Marketing & AI-Driven Paid Media\n- Module 7 - AI and Agentic AI in Marketing\n- Module 8 - Growth Marketing, Experimentation & Funnel Optimisation\n- Module 9 - Responsible AI in Marketing\n- Term Capstone - Final Presentation & Review Panel",
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"description_html": "<p><b>Why This Programme, right now</b></p><p>Operations sit at the core of every modern enterprise - across manufacturing, supply chains, fulfillment, services, and business networks. As AI becomes the default toolkit for decision-making, automation, and scale, the role of operations leaders is being redefined. This programme from IIM Tiruchirappalli is built for professionals preparing to lead that transformation.</p><p><b>The operations playbook is being rewritten. Right now.</b></p><p>Four converging signals from 2025-26 industry hiring market. Read them together and the conclusion is hard to escape: AI fluency in operations is no longer a resume bullet, it is the new baseline for anyone who runs a process, a warehouse, a service line, or a supply chain.</p><p><b>What this means for operations professionals</b></p><p>AI is becoming standard at the workplace, but the supply of professionals who can apply it meaningfully still lags demand. The highest-value talent will be those who can move from simply using AI tools to designing and deploying AI-led processes. This capability is becoming especially critical across operations, supply chain, and process functions - among the largest demand centres in modern enterprises.</p><p><b>Where AI Powered Ops roles are being posted</b></p><p>Flipkart - Reliance Retail - Reliance Jio - Amazon India - TCS - Infosys - Wipro - HCLTech - LTIMindtree - IBM Consulting - Accenture Operations - Genpact - WNS - Tata Steel - Mahindra Group - Hindustan Unilever - Nestle India - Zomato - Swiggy - Delhivery - Meesho - Ola Electric - Ather Energy - Bajaj Auto</p>",
"description_text": "Why This Programme, right now\n\nOperations sit at the core of every modern enterprise - across manufacturing, supply chains, fulfillment, services, and business networks. As AI becomes the default toolkit for decision-making, automation, and scale, the role of operations leaders is being redefined. This programme from IIM Tiruchirappalli is built for professionals preparing to lead that transformation.\n\nThe operations playbook is being rewritten. Right now.\n\nFour converging signals from 2025-26 industry hiring market. Read them together and the conclusion is hard to escape: AI fluency in operations is no longer a resume bullet, it is the new baseline for anyone who runs a process, a warehouse, a service line, or a supply chain.\n\nWhat this means for operations professionals\n\nAI is becoming standard at the workplace, but the supply of professionals who can apply it meaningfully still lags demand. The highest-value talent will be those who can move from simply using AI tools to designing and deploying AI-led processes. This capability is becoming especially critical across operations, supply chain, and process functions - among the largest demand centres in modern enterprises.\n\nWhere AI Powered Ops roles are being posted\n\nFlipkart - Reliance Retail - Reliance Jio - Amazon India - TCS - Infosys - Wipro - HCLTech - LTIMindtree - IBM Consulting - Accenture Operations - Genpact - WNS - Tata Steel - Mahindra Group - Hindustan Unilever - Nestle India - Zomato - Swiggy - Delhivery - Meesho - Ola Electric - Ather Energy - Bajaj Auto",
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"eligibility_text": "- Profile 1 - Graduates in the early years of an ops career - Preferably Engineering - Operations - Industrial Engineering - Mathematics - Statistics - Computer Science - other quantitative backgrounds.\n- Profile 2 - Seasoned operations practitioners & leaders - Operations, supply chain, process excellence, quality, planning, plant, service and fulfilment leadership roles.",
"highlights_html": "<p><ul><li><b>Module 1</b> - Week 1 to 4 - Foundations of AI Operations</li><li><b>Module 2</b> - Week 5 to 8 - Process Design & Continuous Improvement</li><li><b>Module 3</b> - Week 9 to 14 - Predictive & Prescriptive Analytics</li><li><b>Module 4</b> - Week 15 to 17 - Automation & Agentic Systems</li><li><b>Module 5</b> - Week 18 to 23 - Supply Chain & Asset Operations</li><li><b>Module 6</b> - Campus Immersion - Responsible AI, Risk & Governance</li></ul></p>",
"highlights_text": "- Module 1 - Week 1 to 4 - Foundations of AI Operations\n- Module 2 - Week 5 to 8 - Process Design & Continuous Improvement\n- Module 3 - Week 9 to 14 - Predictive & Prescriptive Analytics\n- Module 4 - Week 15 to 17 - Automation & Agentic Systems\n- Module 5 - Week 18 to 23 - Supply Chain & Asset Operations\n- Module 6 - Campus Immersion - Responsible AI, Risk & Governance",
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"id": 2937,
"title": "Talent500 & Interview Kickstart | Transformative GenAI & Agentic AI + Interview Lab for Technical Program Managers",
"link": "https://www.iimjobs.com/course/Talent500-%26%20Interview%20Kickstart%20%7C%20Transformative%20GenAI%20%26%20Agentic%20AI%20%2B%20Interview%20Lab%20for%20Technical%20Program%20Managers-2937",
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"description_html": "<p><p><b>Program Overview</b></p><p><b>Transformative GenAI + Interview Preparation for Technical Program Managers</b></p><p>This 30-weeks integrated program is designed for Technical Program Managers who want to lead AI-powered programs in production and position themselves for senior TPM roles at MAANG+ companies. It combines hands-on mastery of agentic AI systems - built through live guided projects using no-code and low-code tools - with structured interview preparation covering system design, program management, and behavioral rounds.</p><p><b>A Unique Dual-Track Strategy</b></p><p>What you build is what you interview with. Live guided projects become system design case studies. Trade-off decisions become leadership discussion points. Capstone architecture maps directly to TPM design rounds.<br/><br/></p><p><b>Key Highlights:</b></p><ul><li>7 Live Guided Projects</li><li>No Coding Required</li><li>Executive Ready Capstone</li><li>4-Week AI Interview Prep</li><li>11 Week Domain Prep</li><li>20 Mock Interviews</li><li>TPM Ownership Lens</li><li>L5/L6 Guidance</li><li>24-Week Structure</li><li>Portfolio & Practice Integration</li></ul></p>",
"description_text": "Program Overview\n\nTransformative GenAI + Interview Preparation for Technical Program Managers\n\nThis 30-weeks integrated program is designed for Technical Program Managers who want to lead AI-powered programs in production and position themselves for senior TPM roles at MAANG+ companies. It combines hands-on mastery of agentic AI systems - built through live guided projects using no-code and low-code tools - with structured interview preparation covering system design, program management, and behavioral rounds.\n\nA Unique Dual-Track Strategy\n\nWhat you build is what you interview with. Live guided projects become system design case studies. Trade-off decisions become leadership discussion points. Capstone architecture maps directly to TPM design rounds.\n\nKey Highlights:\n- 7 Live Guided Projects\n- No Coding Required\n- Executive Ready Capstone\n- 4-Week AI Interview Prep\n- 11 Week Domain Prep\n- 20 Mock Interviews\n- TPM Ownership Lens\n- L5/L6 Guidance\n- 24-Week Structure\n- Portfolio & Practice Integration",
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"eligibility_text": "- TPMs applying Agentic AI to program workflows\n- Professionals moving into AI-driven program management roles\n- TPMs governing large-scale, multi-stakeholder programs\n- TPMs preparing for MAANG+ interviews",
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"highlights_text": "Program Structure\n- Weeks 0-7 Agentic AI Foundations + 7 Live Guided Projects\n- Weeks 8-9 Capstone Project - end-to-end production-style AI program\n- Weeks 10-13 Agentic AI Interview Prep - TPM-focused case scenarios (6 weeks)\n- Weeks 14-19 TPM Domain Prep - Program Planning, Execution, Monitoring, Behavioral (6 weeks)\n- Weeks 20-21 System Design Interview Preparation\n- Weeks 22-24 Careers - Interview Strategy and Professional Branding\n- Weeks 25-29 Technical Domain Course (Optional)\n- Week 25+ 6 Months Support Period - 15 (Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews",
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"id": 2936,
"title": "Talent500 & Interview Kickstart | Transformative GenAI & Agentic AI + Interview Lab for Tech Professionals",
"link": "https://www.iimjobs.com/course/Talent500-%26%20Interview%20Kickstart%20%7C%20Transformative%20GenAI%20%26%20Agentic%20AI%20%2B%20Interview%20Lab%20for%20Tech%20Professionals-2936",
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"description_html": "<p><b>Program Overview</b></p><p><b>Applied Agentic AI + Interview Preparation for Infrastructure Engineers</b></p><p>This integrated program is designed for infrastructure engineers who want to design, build, and operate AI-powered systems while preparing for competitive engineering roles at MAANG+ companies. It combines hands-on mastery of agentic AI systems-built through live guided projects using modern frameworks and tools-with structured interview preparation tailored to your engineering domain.</p><p><b>One AI Foundation. Three Domain Specializations.</b></p><p>All participants share a common core curriculum in agentic AI system design covering the full lifecycle from foundations through production operations. After mastering the core, you specialize in the domain that matches your career trajectory.<br/><br/></p><p><b>Key Highlights:</b></p><p><ul><li>Applied Agentic AI</li><li>End-to-End Curriculum</li><li>Project-Driven Weekly</li><li>Engineering-First tradeoffs</li><li>Domain interview Prep</li><li>Expert Practitioners</li><li>Capstone Feedback</li><li>Future-Proof Your Career</li><li>Portfolio & Practice Integration</li></ul></p>",
"description_text": "Program Overview\n\nApplied Agentic AI + Interview Preparation for Infrastructure Engineers\n\nThis integrated program is designed for infrastructure engineers who want to design, build, and operate AI-powered systems while preparing for competitive engineering roles at MAANG+ companies. It combines hands-on mastery of agentic AI systems-built through live guided projects using modern frameworks and tools-with structured interview preparation tailored to your engineering domain.\n\nOne AI Foundation. Three Domain Specializations.\n\nAll participants share a common core curriculum in agentic AI system design covering the full lifecycle from foundations through production operations. After mastering the core, you specialize in the domain that matches your career trajectory.\n\nKey Highlights:\n- Applied Agentic AI\n- End-to-End Curriculum\n- Project-Driven Weekly\n- Engineering-First tradeoffs\n- Domain interview Prep\n- Expert Practitioners\n- Capstone Feedback\n- Future-Proof Your Career\n- Portfolio & Practice Integration",
"eligibility_html": "<p><ul><li>SRE / DevOps Engineers</li><li>Cloud Solutions Architects</li><li>Cyber Security Engineers</li></ul></p>",
"eligibility_text": "- SRE / DevOps Engineers\n- Cloud Solutions Architects\n- Cyber Security Engineers",
"highlights_html": "<p><b>Program Structure</b></p><p></p><ul><li><b>Weeks 0</b> Agentic AI foundations (self-paced): LLM architecture layers, lowcode environment setup, first agent build using visual orchestration tools</li><li><b>Weeks 1-7 </b>7 live guided projects progressing from reflex agents to enterprise multi-agent systems. RAG, orchestration, conversational/multimodal agents, domain workflows, evaluation, and fine-tuning.</li><li><b>Weeks 8-9</b> Learner-led enterprise multi-agent system with architecture diagrams, evaluation reports, and system documentation. Scheduled instructor support.</li><li><b>Weeks 10-13</b> 4 weeks: AI use case framing, architecture and workflows, data and retrieval, evals and observability, guardrails and access, cost and production operations.</li><li><p>Deep domain-specific technical preparation, with an additional 6 weeks for SRE professionals, an additional 5 weeks for Cloud professionals, and an additional 7 weeks for Security professionals.</p><p>Resume and LinkedIn optimization, behavioral interview masterclass, and offer negotiation coaching.</p></li></ul><p></p>",
"highlights_text": "Program Structure\n- Weeks 0 Agentic AI foundations (self-paced): LLM architecture layers, lowcode environment setup, first agent build using visual orchestration tools\n- Weeks 1-7 7 live guided projects progressing from reflex agents to enterprise multi-agent systems. RAG, orchestration, conversational/multimodal agents, domain workflows, evaluation, and fine-tuning.\n- Weeks 8-9 Learner-led enterprise multi-agent system with architecture diagrams, evaluation reports, and system documentation. Scheduled instructor support.\n- Weeks 10-13 4 weeks: AI use case framing, architecture and workflows, data and retrieval, evals and observability, guardrails and access, cost and production operations.\n-\nDeep domain-specific technical preparation, with an additional 6 weeks for SRE professionals, an additional 5 weeks for Cloud professionals, and an additional 7 weeks for Security professionals.\n\nResume and LinkedIn optimization, behavioral interview masterclass, and offer negotiation coaching.",
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"title": "Talent500 & Interview Kickstart | Transformative GenAI & Agentic AI + Interview Lab for Product Managers",
"link": "https://www.iimjobs.com/course/Talent500-%26%20Interview%20Kickstart%20%7C%20Transformative%20GenAI%20%26%20Agentic%20AI%20%2B%20Interview%20Lab%20for%20Product%20Managers-2935",
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"description_html": "<p><p><b>Program Overview</b></p><p><b>Agentic AI + Interview Preparation for Product Managers</b></p><p>This program develops product leaders to design and operate agentic AI systems while preparing for MAANG+ roles. It builds decision-making across the AI product lifecycle, including system design, RAG, multi-agent workflows, and evaluation, through hands-on, no-code projects. It also strengthens interview readiness by improving structured thinking, trade-off analysis, and product decision articulation.</p><p><b>A Unique Dual-Track Strategy</b></p><p class=\"\">What you build is what you interview with. Live guided projects become product design case studies. Trade-off decisions become leadership discussion points. The capstone maps directly to the structured product thinking expected in MAANG+ PM interviews.<br/><br/></p><p><b>Key Highlights:</b><br/></p><ul><li>7 Guided Projects</li><li>No Coding Required</li><li>Executive Ready Capstone</li><li>6 Week AI Interview Prep</li><li>PM Domain Preparation</li><li>20 Mock Interviews</li><li>PM Ownership Lens</li><li>Practitioner-Led Instructions</li><li>End-to-End Program Support</li><li>Portfolio & Practice Integration</li></ul></p>",
"description_text": "Program Overview\n\nAgentic AI + Interview Preparation for Product Managers\n\nThis program develops product leaders to design and operate agentic AI systems while preparing for MAANG+ roles. It builds decision-making across the AI product lifecycle, including system design, RAG, multi-agent workflows, and evaluation, through hands-on, no-code projects. It also strengthens interview readiness by improving structured thinking, trade-off analysis, and product decision articulation.\n\nA Unique Dual-Track Strategy\n\nWhat you build is what you interview with. Live guided projects become product design case studies. Trade-off decisions become leadership discussion points. The capstone maps directly to the structured product thinking expected in MAANG+ PM interviews.\n\nKey Highlights:\n- 7 Guided Projects\n- No Coding Required\n- Executive Ready Capstone\n- 6 Week AI Interview Prep\n- PM Domain Preparation\n- 20 Mock Interviews\n- PM Ownership Lens\n- Practitioner-Led Instructions\n- End-to-End Program Support\n- Portfolio & Practice Integration",
"eligibility_html": "<p><ul><li>Product Managers designing AI-powered features</li><li>PMs leading AI products or platforms</li><li>Professionals transitioning into AI-first product roles</li><li>Senior PMs preparing for MAANG+ interviews</li></ul></p>",
"eligibility_text": "- Product Managers designing AI-powered features\n- PMs leading AI products or platforms\n- Professionals transitioning into AI-first product roles\n- Senior PMs preparing for MAANG+ interviews",
"highlights_html": "<p><b>Program Structure<br/></b><p><b>Weeks 0</b> Foundations & No-Code Setup (Self-Paced)</p><p><b>Weeks 1-7</b> Agentic AI Foundations - 7 live guided projects</p><p><b>Weeks 8-9</b> Capstone Project - end-to-end production-style AI product</p><p><b>Weeks 10-13</b> Agentic AI Interview Prep - PM-focused case scenarios (6 weeks)</p><p><b>Weeks 14-21</b> PM Domain Prep - User Acquisition, Revenue, Analytics, PMF, Product Sense, Execution & Strategy, Behavioral</p><p><b>Weeks 22-23</b> System Design Interview Preparation</p><p><b>Weeks 23-25</b> Careers - Interview Strategy and Professional Branding</p><p><b>Week 25+</b> 6 Months Support period - 15 (interview prep) + 5 (Agentic Interview prep) mock interviews</p></p><p><p></p></p>",
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"title": "Talent500 & Interview Kickstart | Transformative GenAI & Agentic AI + Interview Lab For Full stack Engineers Prepare for MAANG+ Full stack Engineering interviews.",
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"description_text": "Program Overview:\nApplied Agentic AI + Interview Preparation for Full Stack Engineers\n\nThis integrated program is designed for full stack engineers who want to build and operate AI-powered applications while preparing for competitive Full Stack Engineering roles at FAANG+ companies. It combines hands-on mastery of agentic AI systems - built through live guided projects using modern frameworks and tools - with structured interview preparation covering backend architecture, API design, cloud infrastructure, JavaScript development, UI system design, and data structures and algorithms.\nA Unique Dual-Track Design\n\nWhat you build is what you interview with. Live guided projects become system design case studies, and architecture trade-offs become discussion points that demonstrate engineering judgment. The enterprise capstone showcases how to design, evaluate, and operate production-grade agentic AI systems while clearly articulating the technical reasoning expected in FAANG-level engineering interviews.\n\nKey Highlights:\n- Applied Agentic AI\n- End to End Curriculum\n- Project Driven Weekly\n- Engineering Focus\n- Full Stack Interview Prep\n- Expert Practitioners\n- Capstone with Feedback\n- Future Proof your Career\n- Portfolio & Practice integration",
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"eligibility_text": "- Full Stack Engineers\n- AI Enthusiasts with Software Engineering Backgrounds",
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"eligibility_text": "- Frontend Engineers\n- Software Engineers Exploring AI",
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"id": 2932,
"title": "Talent 500 & Interview Kickstart | Transformative GenAI & Agentic AI + Interview Lab for Data Engineers",
"link": "https://www.iimjobs.com/course/Talent-500%20%26%20Interview%20Kickstart%20%7C%20Transformative%20GenAI%20%26%20Agentic%20AI%20%2B%20Interview%20Lab%20for%20Data%20Engineers-2932",
"institute": "Talent 500 & Interview Kickstart",
"accreditation": null,
"tagline": "Design and Operate Agentic Data Systems. Secure Top Data Engineering Roles.",
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"duration": "35 Weeks",
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"description_html": "<p><p><b>Program Overview:</b></p><p><b>Applied Agentic AI + Interview Preparation for Data Engineers</b></p><p>This integrated program is designed for data engineers and analytics engineers who want to design, build, and operate AI-powered data systems while preparing for competitive Data Engineering roles at MAANG+ companies. It combines hands-on mastery of agentic AI systems - built through live guided projects using modern frameworks and tools - with structured interview preparation covering data structures and algorithms, system design, SQL programming, data modeling, ETL and pipeline design, and data platforms.<br/></p><p><b>A Unique Dual-Track Strategy</b></p><p>What you build is what you interview with. Live guided projects become system design case studies. Trade-off decisions become discussion points for architecture and engineering judgment. The enterprise capstone demonstrates how to design, evaluate, and operate production-grade agentic data systems while articulating the technical reasoning expected in MAANG-level engineering interviews.<br/><br/></p><p><b>Key Highlights:</b><br/></p><ul><li>Applied Agentic AI for Data Engineers</li><li>End to End Curriculum</li><li>Weekly project based learning</li><li>Engineering Focused Skills</li><li>Expert Led Instructions</li><li>Capstone Project with Feedback</li><li>Career Focused Outcomes</li></ul></p>",
"description_text": "Program Overview:\n\nApplied Agentic AI + Interview Preparation for Data Engineers\n\nThis integrated program is designed for data engineers and analytics engineers who want to design, build, and operate AI-powered data systems while preparing for competitive Data Engineering roles at MAANG+ companies. It combines hands-on mastery of agentic AI systems - built through live guided projects using modern frameworks and tools - with structured interview preparation covering data structures and algorithms, system design, SQL programming, data modeling, ETL and pipeline design, and data platforms.\n\nA Unique Dual-Track Strategy\n\nWhat you build is what you interview with. Live guided projects become system design case studies. Trade-off decisions become discussion points for architecture and engineering judgment. The enterprise capstone demonstrates how to design, evaluate, and operate production-grade agentic data systems while articulating the technical reasoning expected in MAANG-level engineering interviews.\n\nKey Highlights:\n- Applied Agentic AI for Data Engineers\n- End to End Curriculum\n- Weekly project based learning\n- Engineering Focused Skills\n- Expert Led Instructions\n- Capstone Project with Feedback\n- Career Focused Outcomes",
"eligibility_html": "<p><ul><li>Data Engineers and Analytics Engineers</li><li>Platform and Infrastructure-Focused Engineers</li><li>Data Engineers Transitioning into AI and Agentic Roles </li></ul></p>",
"eligibility_text": "- Data Engineers and Analytics Engineers\n- Platform and Infrastructure-Focused Engineers\n- Data Engineers Transitioning into AI and Agentic Roles",
"highlights_html": "<p><b>Program Structure</b></p><p><ul><li><b>Weeks 0 (Self-paced)</b>: Agentic AI foundations - build your first agent-style application end to end</li><li><b>Weeks 1-9: </b>9 live guided projects progressing from reflex agents to enterprise multi-agent systems</li><li><b>Weeks 10-11: </b>Learner-led enterprise multi-agent data engineering system with scheduled instructor support sessions</li><li><b>Weeks 12-15: </b>Design patterns, orchestration, memory, data & retrieval, evals, guardrails, production operations</li><li><b>Weeks 16-25: </b>Sorting, recursion, trees, graphs, dynamic programming - aligned to MAANG coding rounds</li><li><b>Weeks 26-31: </b>Online, batch, and stream processing systems for MAANG system design rounds</li><li><b>Self-paced: </b>SQL programming, data modeling, ETL & pipeline design, data platforms - 4 intensive domain weeks</li><li><b>Week 32-34: </b>Career session orientation and offer strategy</li><li><b>Week 35 onwards: </b>6-months support period- 15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews</li></ul></p>",
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{
"id": 2931,
"title": "IMT Hyderabad | PG Certificate Program in Financial Technologies",
"link": "https://www.iimjobs.com/course/IMT-Hyderabad%20%7C%20PG%20Certificate%20Program%20in%20Financial%20Technologies-2931",
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"link": "https://www.iimjobs.com/k/accounts-receivable-jobs"
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"link": "https://www.iimjobs.com/k/banking-operations-jobs"
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"link": "https://www.iimjobs.com/k/investment-banking-operations-jobs"
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"description_html": "<p><p><b>Program Overview<br/></b>The PG Certificate Program in Financial Technologies is jointly offered by the Institute of Management Technology, Hyderabad, and NAL Academy Ltd. The program curriculum is industry-oriented and covers global trends, and best practices.<br/><b></b></p><p>This <b>six-month</b> program provides a panoramic understanding of futuristic technologies like <b>Digital currencies, Blockchain, Artificial Intelligence (AI), Machine Learning (ML), FinTech Regulations, etc</b>. The Program is for professionals in <b>Banking, Financial Services, Insurance, Management, Consulting, and Technology</b>, who want to be at the forefront of the FinTech Revolution and wish to lead FinTech initiatives in their organizations or want to start their own.</p><p><b>Program Highlights:</b></p><ul><li><b>Next-Gen Curriculum: </b>Covering emerging tech-Blockchain, AI, Machine Learning</li><li><b>Practical Pedagogy: </b>Covering emerging tech-Blockchain, AI, Machine Learning</li><li><b>Capstone Project: </b>Learn from Industry Practitioners</li><li><b>Joint Certificate: </b>IMT Hyderabad and NAL Academy</li><li><b>IMT Hyderabad</b> Executive Alumni Status</li></ul></p>",
"description_text": "Program Overview\nThe PG Certificate Program in Financial Technologies is jointly offered by the Institute of Management Technology, Hyderabad, and NAL Academy Ltd. The program curriculum is industry-oriented and covers global trends, and best practices.\n\nThis six-month program provides a panoramic understanding of futuristic technologies like Digital currencies, Blockchain, Artificial Intelligence (AI), Machine Learning (ML), FinTech Regulations, etc. The Program is for professionals in Banking, Financial Services, Insurance, Management, Consulting, and Technology, who want to be at the forefront of the FinTech Revolution and wish to lead FinTech initiatives in their organizations or want to start their own.\n\nProgram Highlights:\n- Next-Gen Curriculum: Covering emerging tech-Blockchain, AI, Machine Learning\n- Practical Pedagogy: Covering emerging tech-Blockchain, AI, Machine Learning\n- Capstone Project: Learn from Industry Practitioners\n- Joint Certificate: IMT Hyderabad and NAL Academy\n- IMT Hyderabad Executive Alumni Status",
"eligibility_html": "<p><ul><li>Early-career professionals aspiring to build a career in fintech</li><li>Mid to Senior-level executives in BFSI looking to upskill and stay relevant in a rapidly digitizing financial landscape</li><li>Entrepreneurs and start-up enthusiasts keen on exploring fintech innovations and business models</li><li>Graduates and postgraduates from diverse academic backgrounds interested in bridging finance and technology</li></ul></p>",
"eligibility_text": "- Early-career professionals aspiring to build a career in fintech\n- Mid to Senior-level executives in BFSI looking to upskill and stay relevant in a rapidly digitizing financial landscape\n- Entrepreneurs and start-up enthusiasts keen on exploring fintech innovations and business models\n- Graduates and postgraduates from diverse academic backgrounds interested in bridging finance and technology",
"highlights_html": "<p><b>Part I Methodology: Online | Self-paced</b></p><p><b>Digital Primers:</b> These modules are designed to build a foundational understanding of the core domains shaping the FinTech ecosystem<b></b></p><ul><li>Deloitte & NAL Remittance And Swift</li><li>NCFM Pro Cyber Security</li><li>NCFM Pro Data Analytics & Business Intelligence</li><li>SBI & NAL Fintech & Future of Financial Services</li><li>SBI & NAL Fundamentals of Banking API Services</li></ul><b>Part II Methodology: Instructor-led | Live Online</b><br/><p></p><p><b>Module 1</b> - Overview of FinTech Ecosystem: Understand the evolution, scope, and transformative impact of <b></b>FinTech in modern financial systems.</p><p><b>Module Coverage:</b></p><ul><li>Evolution of FinTech</li><li>FinTech Ecosystem and Trends</li><li>Financial Inclusion and Digital Public Infrastructure</li><li>ESG, Sustainable Finance and Green FinTech</li></ul><p><b>Module 2</b> - <b>Open Finance, APIs & Embedded Finance</b>: Learn how IoT and APIs enable real-time connectivity, seamless data integration, and innovative financial solutions that enhance efficiency, strengthen security, and enhance customer experiences in financial services.</p><p><b>Module Coverage:</b></p><ul><li>IoT in Finance</li><li>APIs and Open Banking</li><li>Open Finance Frameworks</li><li>Embedded Finance</li><li>API Security and Compliance</li></ul><b>Module 3</b> - <b>Blockchain, Web3 & DeFi</b>: Explore how Blockchain and Distributed Ledger Technology enhance transparency, security, and trust while driving innovation and efficiency in financial services.<br/><p><b>Module Coverage:</b></p><ul><li>Blockchain Fundamentals</li><li>Smart Contracts and DApps</li><li>Web3 Ecosystem</li><li>Decentralized Finance (DeFi)</li><li>Blockchain Security and Scalability</li></ul><p><b>Module 4</b> - <b>Virtual Digital Assets</b>: Understand how Digital Currencies and Digital Assets reshape financial systems by enabling faster transactions, greater transparency, and new opportunities for investment and innovation.</p><p><b>Module Coverage:</b></p><ul><li>Virtual Digital Assets</li><li>Stablecoins and CBDCs</li><li>Asset Tokenization</li><li>NFTs and DAOs</li><li>Regulatory Developments</li></ul><b>Module 5</b> - <b>Avenues of FinTech</b>: Discover the emerging avenues of FinTech that are creating new opportunities for businesses and new possibilities for consumers.<br/><p><b>Module Coverage:</b></p><ul><li>Digital Banking and Neobanks</li><li>P2P Lending</li><li>InsurTech</li><li>WealthTech</li></ul><b>Module 6</b> - <b>Agentic AI and Machine Learning Strategies in FinTech</b>: Discover how Agentic AI and Machine Learning drive smarter decisions and transformative solutions in FinTech.<br/><p><b>Module Coverage:</b></p><ul><li>Machine Learning Models</li><li>Fraud Detection, Credit</li><li>Scoring & Risk Models</li><li>Use of AI in BFSI</li><li>Agentic AI Framework</li></ul><b>Module 7</b> - <b>FinTech Regulations and Compliance</b>: Understand the regulatory frameworks and compliance practices shaping the growth and governance of FinTech.<br/><p><b>Module Coverage:</b></p><ul><li>RegTech and Compliance</li><li>Digital Public Infrastructure</li><li>Data Protection Laws</li><li>Ethics in FinTech</li></ul><p><b> Project Work</b></p>",
"highlights_text": "Part I Methodology: Online | Self-paced\n\nDigital Primers: These modules are designed to build a foundational understanding of the core domains shaping the FinTech ecosystem\n- Deloitte & NAL Remittance And Swift\n- NCFM Pro Cyber Security\n- NCFM Pro Data Analytics & Business Intelligence\n- SBI & NAL Fintech & Future of Financial Services\n- SBI & NAL Fundamentals of Banking API Services\n\nPart II Methodology: Instructor-led | Live Online\n\nModule 1 - Overview of FinTech Ecosystem: Understand the evolution, scope, and transformative impact of FinTech in modern financial systems.\n\nModule Coverage:\n- Evolution of FinTech\n- FinTech Ecosystem and Trends\n- Financial Inclusion and Digital Public Infrastructure\n- ESG, Sustainable Finance and Green FinTech\n\nModule 2 - Open Finance, APIs & Embedded Finance: Learn how IoT and APIs enable real-time connectivity, seamless data integration, and innovative financial solutions that enhance efficiency, strengthen security, and enhance customer experiences in financial services.\n\nModule Coverage:\n- IoT in Finance\n- APIs and Open Banking\n- Open Finance Frameworks\n- Embedded Finance\n- API Security and Compliance\n\nModule 3 - Blockchain, Web3 & DeFi: Explore how Blockchain and Distributed Ledger Technology enhance transparency, security, and trust while driving innovation and efficiency in financial services.\n\nModule Coverage:\n- Blockchain Fundamentals\n- Smart Contracts and DApps\n- Web3 Ecosystem\n- Decentralized Finance (DeFi)\n- Blockchain Security and Scalability\n\nModule 4 - Virtual Digital Assets: Understand how Digital Currencies and Digital Assets reshape financial systems by enabling faster transactions, greater transparency, and new opportunities for investment and innovation.\n\nModule Coverage:\n- Virtual Digital Assets\n- Stablecoins and CBDCs\n- Asset Tokenization\n- NFTs and DAOs\n- Regulatory Developments\n\nModule 5 - Avenues of FinTech: Discover the emerging avenues of FinTech that are creating new opportunities for businesses and new possibilities for consumers.\n\nModule Coverage:\n- Digital Banking and Neobanks\n- P2P Lending\n- InsurTech\n- WealthTech\n\nModule 6 - Agentic AI and Machine Learning Strategies in FinTech: Discover how Agentic AI and Machine Learning drive smarter decisions and transformative solutions in FinTech.\n\nModule Coverage:\n- Machine Learning Models\n- Fraud Detection, Credit\n- Scoring & Risk Models\n- Use of AI in BFSI\n- Agentic AI Framework\n\nModule 7 - FinTech Regulations and Compliance: Understand the regulatory frameworks and compliance practices shaping the growth and governance of FinTech.\n\nModule Coverage:\n- RegTech and Compliance\n- Digital Public Infrastructure\n- Data Protection Laws\n- Ethics in FinTech\n\nProject Work",
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"title": "IIM Kashipur | Executive Program Financial Analytics & AI",
"link": "https://www.iimjobs.com/course/IIM-Kashipur%20%7C%20Executive%20Program%20Financial%20Analytics%20%26%20AI-2930",
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"description_html": "<p><b>ABOUT THE PROGRAM:</b></p><p>The Executive Program in Financial Analytics and AI is a practice-oriented program designed for finance professionals aiming to succeed in a data driven environment. It combines core financial principles with modern analytics and AI tools, enabling participants to transform complex data into actionable business insights.</p><p><ul><li><b>Blends</b> financial theory with <b>Analytics, Machine Learning, and A</b>I applications</li><li>Focuses on <b>hands-on</b> learning in<b> Financial Modeling, Forecasting, and Scenario Analysis</b></li><li>Builds capabilities to <b>evaluate Firm Performance</b> and support decision making</li><li>Develops <b>AI capability</b> through use cases in <b>Forecasting, Credit Risk, and Fraud Detection</b>, along with <b>NLP</b>-based insights</li><li>Exposure to <b>Prompt Engineering and AI-assisted tools</b> to enhance productivity</li><li>Builds capabilities in <b>Portfolio and Risk analytics</b> to support portfolio evaluation, risk assessment, and investment decision-making</li><li>Provides exposure to <b>Anti-Money Laundering (AML)</b> frameworks, transaction monitoring, risk indicators, and analytics-driven compliance methodologies</li></ul><p><b>PROGRAM HIGHLIGHTS:</b></p><p><ul><li><b>Prestige of IIM Learning Experience: </b>Earn credentials from a primer management institute and strengthen your professional credibility.</li><li><b>Professional Growth: </b>Enhance your profile for high-growth roles in finance, consulting, fintech and analytics.</li><li><b>Hands-on capability to use AI and associated tools: </b>Stay updated with AI, Machine Learning, and</li><li>advanced Financial Modeling techniques.</li><li><b>IIM Kashipur Executive Alumni Status: </b>Join the prestigious alumni community and expand your professional horizons.</li><li><b>Future- Ready Skillset: </b>Develop industry-grade capability in Financial Analytics, AI, and data-driven decision making</li><li><b>Industry - Relevant Curriculum: </b>Learn through practical applications, industry case studies, and hands-on tools.</li></ul></p></p>",
"description_text": "ABOUT THE PROGRAM:\n\nThe Executive Program in Financial Analytics and AI is a practice-oriented program designed for finance professionals aiming to succeed in a data driven environment. It combines core financial principles with modern analytics and AI tools, enabling participants to transform complex data into actionable business insights.\n- Blends financial theory with Analytics, Machine Learning, and AI applications\n- Focuses on hands-on learning in Financial Modeling, Forecasting, and Scenario Analysis\n- Builds capabilities to evaluate Firm Performance and support decision making\n- Develops AI capability through use cases in Forecasting, Credit Risk, and Fraud Detection, along with NLP-based insights\n- Exposure to Prompt Engineering and AI-assisted tools to enhance productivity\n- Builds capabilities in Portfolio and Risk analytics to support portfolio evaluation, risk assessment, and investment decision-making\n- Provides exposure to Anti-Money Laundering (AML) frameworks, transaction monitoring, risk indicators, and analytics-driven compliance methodologies\n\nPROGRAM HIGHLIGHTS:\n- Prestige of IIM Learning Experience: Earn credentials from a primer management institute and strengthen your professional credibility.\n- Professional Growth: Enhance your profile for high-growth roles in finance, consulting, fintech and analytics.\n- Hands-on capability to use AI and associated tools: Stay updated with AI, Machine Learning, and\n- advanced Financial Modeling techniques.\n- IIM Kashipur Executive Alumni Status: Join the prestigious alumni community and expand your professional horizons.\n- Future- Ready Skillset: Develop industry-grade capability in Financial Analytics, AI, and data-driven decision making\n- Industry - Relevant Curriculum: Learn through practical applications, industry case studies, and hands-on tools.",
"eligibility_html": "<p><ul><li><b>For Indian Participants</b> - Graduates from a recognized University (UGC/AICTE/DEC/AIU /State Government) in any discipline with Mathematics/Statistics up to 10+2 level</li><li><b>For International Participants - </b>Graduation or equivalent degree from any recognized University or Institution in their respective country</li></ul></p>",
"eligibility_text": "- For Indian Participants - Graduates from a recognized University (UGC/AICTE/DEC/AIU /State Government) in any discipline with Mathematics/Statistics up to 10+2 level\n- For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country",
"highlights_html": "<p><p><b>PROGRAM CONTENTS</b></p><p><b>Primers</b></p><ul><li>Foundation of Financial Modelling</li><li>NCFM Pro Data Analytics & BI</li><li>NCFM Pro Enterprise Risk Management (ERM)</li><li>Certificate in Advanced Excel</li><li>Credit Risk Management</li></ul><p><b>Module 1:</b> Foundations of Financial Analytics</p><ul><li>Financial data ecosystems</li><li>KPIs across industries</li><li>Analytical thinking in finance</li><li>Data-driven decision frameworks</li></ul><p><b>Module 2:</b> Fundamentals of Statistics</p><ul><li>Descriptive Analysis</li><li>Inferential Analysis</li><li>Application of Linear & Logistic Regression in Finance</li><li>Automation with Python for Reports</li></ul><p><b>Module 3:</b> Data Analytics & Visualization</p><ul><li>Data cleaning & transformation</li><li>EDA for financial datasets</li><li>Dashboarding using Power BI</li><li>Visualization</li><li><b>Hands-on: </b>Build a Power BI dashboard</li></ul><p><b>Module 4:</b> Financial Modeling</p><ul><li>3-statement integrated modeling</li><li>Forecasting technique</li><li>Scenario & sensitivity analysis</li><li><b>Hands-on:</b> Analysing the firm's performance from financial statement analysis</li></ul><p><b>Module 5: </b>Advanced Financial & Portfolio Analytics</p><ul><li>Introduction to fixed Income Analytics</li><li>Estimation of Duration, Convexity</li><li>Valuation of Forward, Futures, Swaps</li><li>Black-Scholes Option Pricing Model</li><li>Time series forecasting</li><li>ARIMA, ARCH, GARCH, LSTM, Exponential smoothing for stock price forecasting</li><li>Monte Carlo simulations</li><li>Portfolio Optimization</li><li>Portfolio Rebalancing</li><li>Portfolio risk-return analytics</li><li>Valuation analytics</li><li>News Analytics<br/>- Text Mining, Word Cloud<br/>- Sentiment Analysis</li></ul><p><b>Module 6:</b> Risk Analytics</p><ul><li>Market risk Analytics</li><li>Credit Risk (PD, LGD, EAD Models)</li><li>Liquidity Risk</li><li>Operational Risk</li><li>Risk governance frameworks</li><li>Regulatory capital (Based overview)</li><li>Risk reporting & supervision</li><li>Introduction to Enterprise Risk Management (ERM)</li><li><b>Hands-on:</b> Credit risk scoring model, VaR simulation, stress testing dashboard</li></ul><p><b>Module 7:</b> AI Applications & Tools for Financial Analysts</p><ul><li>AI tools used in Forecasting, Credit Modelling, Fraud detection</li><li>NPL for financial Reports</li><li><b>Additional Tools:</b> Python basics, Power BI AI Visuals, Excel AI</li><li>Prompt engineering</li><li><b>Hands-on:</b> Predictive financial models - AI-Driven insights generation</li></ul><p><b>Module 8:</b> AML for finance</p><ul><li>Core AML Frameworks</li><li>Fraud detection patterns</li><li>Intermediary risks</li><li>Analytics in AML</li><li>Rule-based vs AI-based monitoring</li><li>Red flag indicators</li><li>Case management systems</li><li>Case Study: Real-world AML failure and penalties</li></ul></p>",
"highlights_text": "PROGRAM CONTENTS\n\nPrimers\n- Foundation of Financial Modelling\n- NCFM Pro Data Analytics & BI\n- NCFM Pro Enterprise Risk Management (ERM)\n- Certificate in Advanced Excel\n- Credit Risk Management\n\nModule 1: Foundations of Financial Analytics\n- Financial data ecosystems\n- KPIs across industries\n- Analytical thinking in finance\n- Data-driven decision frameworks\n\nModule 2: Fundamentals of Statistics\n- Descriptive Analysis\n- Inferential Analysis\n- Application of Linear & Logistic Regression in Finance\n- Automation with Python for Reports\n\nModule 3: Data Analytics & Visualization\n- Data cleaning & transformation\n- EDA for financial datasets\n- Dashboarding using Power BI\n- Visualization\n- Hands-on: Build a Power BI dashboard\n\nModule 4: Financial Modeling\n- 3-statement integrated modeling\n- Forecasting technique\n- Scenario & sensitivity analysis\n- Hands-on: Analysing the firm's performance from financial statement analysis\n\nModule 5: Advanced Financial & Portfolio Analytics\n- Introduction to fixed Income Analytics\n- Estimation of Duration, Convexity\n- Valuation of Forward, Futures, Swaps\n- Black-Scholes Option Pricing Model\n- Time series forecasting\n- ARIMA, ARCH, GARCH, LSTM, Exponential smoothing for stock price forecasting\n- Monte Carlo simulations\n- Portfolio Optimization\n- Portfolio Rebalancing\n- Portfolio risk-return analytics\n- Valuation analytics\n- News Analytics\n- Text Mining, Word Cloud\n- Sentiment Analysis\n\nModule 6: Risk Analytics\n- Market risk Analytics\n- Credit Risk (PD, LGD, EAD Models)\n- Liquidity Risk\n- Operational Risk\n- Risk governance frameworks\n- Regulatory capital (Based overview)\n- Risk reporting & supervision\n- Introduction to Enterprise Risk Management (ERM)\n- Hands-on: Credit risk scoring model, VaR simulation, stress testing dashboard\n\nModule 7: AI Applications & Tools for Financial Analysts\n- AI tools used in Forecasting, Credit Modelling, Fraud detection\n- NPL for financial Reports\n- Additional Tools: Python basics, Power BI AI Visuals, Excel AI\n- Prompt engineering\n- Hands-on: Predictive financial models - AI-Driven insights generation\n\nModule 8: AML for finance\n- Core AML Frameworks\n- Fraud detection patterns\n- Intermediary risks\n- Analytics in AML\n- Rule-based vs AI-based monitoring\n- Red flag indicators\n- Case management systems\n- Case Study: Real-world AML failure and penalties",
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"title": "ATLAS Skilltech University | Online MBA",
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"description_html": "<p><b>ABOUT ATLAS & THE PROGRAMME- </b><b>India's First New-Age Urban Multidisciplinary University</b></p><p>ATLAS SkillTech University is India's first new-age, urban, multidisciplinary university, established to reimagine higher education for a rapidly transforming world. At ATLAS, academic rigour is strengthened by real-world relevance - through industry collaboration, global exposure, and experiential learning.</p><p>The Online MBA is designed for individuals who seek clarity in complexity and ambition with purpose. Anchored in rigorous business fundamentals and contemporary leadership practice, it develops strategic clarity, executive judgment, and the ability to lead with impact in complex business environments.</p><p><b>4 PROGRAMME TILES</b></p><ul><li>2 Years Structured Learning Journey</li><li>87 Credits Comprehensive Curriculum</li><li>Up to 4 Years Flexible Completion Window</li><li>50% Aggregate Eligibility (any Bachelor's degree)</li></ul><p><b>THE ATLAS ADVANTAGE- Shaping Futures, Driving Impact</b></p><ul><li>Located in India's financial capital</li><li>New-age, technology-led infrastructure</li><li>Multidisciplinary learning approach</li><li>Deeply student-centric philosophy</li><li>Global exposure</li><li>Strong industry integration</li><li>Entrepreneurial DNA</li><li>Impact-driven research and innovation</li></ul><p><b>EXCLUSIVE AI CERTIFICATION WITH YOUR MBA- Generative AI Mastery Certificate For Managerial Excellence</b></p>",
"description_text": "ABOUT ATLAS & THE PROGRAMME- India's First New-Age Urban Multidisciplinary University\n\nATLAS SkillTech University is India's first new-age, urban, multidisciplinary university, established to reimagine higher education for a rapidly transforming world. At ATLAS, academic rigour is strengthened by real-world relevance - through industry collaboration, global exposure, and experiential learning.\n\nThe Online MBA is designed for individuals who seek clarity in complexity and ambition with purpose. Anchored in rigorous business fundamentals and contemporary leadership practice, it develops strategic clarity, executive judgment, and the ability to lead with impact in complex business environments.\n\n4 PROGRAMME TILES\n- 2 Years Structured Learning Journey\n- 87 Credits Comprehensive Curriculum\n- Up to 4 Years Flexible Completion Window\n- 50% Aggregate Eligibility (any Bachelor's degree)\n\nTHE ATLAS ADVANTAGE- Shaping Futures, Driving Impact\n- Located in India's financial capital\n- New-age, technology-led infrastructure\n- Multidisciplinary learning approach\n- Deeply student-centric philosophy\n- Global exposure\n- Strong industry integration\n- Entrepreneurial DNA\n- Impact-driven research and innovation\n\nEXCLUSIVE AI CERTIFICATION WITH YOUR MBA- Generative AI Mastery Certificate For Managerial Excellence",
"eligibility_html": "<p><b>Eligibility Criteria - Bachelor's Degree Holders</b></p><p>Candidates with a recognized undergraduate degree and a minimum of 50% aggregate marks<br/></p><p><b>Working Professionals</b></p><p>Individuals looking to enhance their managerial capabilities and accelerate career growth<br/></p><p><b>Future Leaders & Entrepreneurs</b></p><p>Aspiring professionals seeking business, leadership, and strategic decision-making skills</p>",
"eligibility_text": "Eligibility Criteria - Bachelor's Degree Holders\n\nCandidates with a recognized undergraduate degree and a minimum of 50% aggregate marks\n\nWorking Professionals\n\nIndividuals looking to enhance their managerial capabilities and accelerate career growth\n\nFuture Leaders & Entrepreneurs\n\nAspiring professionals seeking business, leadership, and strategic decision-making skills",
"highlights_html": "<p>Our pedagogy is rooted in learning by doing. Students engage with <b>real-world business cases, </b><b>live industry projects, and AI-enabled problem solving</b>. Learning extends beyond online classroom through campus immersions, industry visits, and regular industry masterclasses. </p><p><b>Hands-on workshops and experiential learning lead to capstone projects</b>, where students integrate business, innovation, and AI to solve real-world challenges. Driven by an entrepreneurial mindset and anchored in Mumbai's dynamic business ecosystem, ATLAS delivers immersive, relevant learning for an AI-powered future.<br/><b>Hands-on AI Tools</b></p><p><ul><li>Claude</li><li>Perplexity</li><li>Ideogram</li><li>Canva</li><li>Capcut</li><li>Posthog</li><li>Bolt.new</li><li>Google Analytics 4</li></ul></p>",
"highlights_text": "Our pedagogy is rooted in learning by doing. Students engage with real-world business cases, live industry projects, and AI-enabled problem solving. Learning extends beyond online classroom through campus immersions, industry visits, and regular industry masterclasses.\n\nHands-on workshops and experiential learning lead to capstone projects, where students integrate business, innovation, and AI to solve real-world challenges. Driven by an entrepreneurial mindset and anchored in Mumbai's dynamic business ecosystem, ATLAS delivers immersive, relevant learning for an AI-powered future.\nHands-on AI Tools\n- Claude\n- Perplexity\n- Ideogram\n- Canva\n- Capcut\n- Posthog\n- Bolt.new\n- Google Analytics 4",
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"description_html": "<p><p><b>Analytics and AI Without Management Is a Toolset. Management Without Analytics and AI Is a Guess.<br/></b>Businesses increasingly need professionals who can understand data and AI and translate those capabilities into business decisions. The<b> IIM Nagpur Blended MBA in Data Science and Management</b> is designed for working professionals who want to build this combination of managerial, analytical and AI capabilities through an MBA-level curriculum.<br/><br/><b>PROGRAMME PHILOSOPHY</b></p><ul><li>Fluency over familiarity.</li><li>Application over abstraction.</li><li>Leadership as the destination.</li></ul><p><b>Advantages of Blended MBA for Working Professionals</b></p><ul><li>Flexibility and Convenience</li><li>Diverse Networking Opportunities</li><li>Cost Effectiveness</li><li>Access to Cutting-Edge Technology</li><li>Tailored Learning Experience</li><li>Improved Time Management Skills</li><li>Exposure to Global Business Practices</li><li>Enhanced Career Opportunities</li><li>Work-Life Balance</li></ul><p><b>PROGRAMME HIGHLIGHTS AT A GLANCE</b></p><ul><li><b>IIM Nagpur Alumni Status</b></li><li>Group Projects, Business Simulations, Case Studies</li><li><b>4 in-campus immersion</b> modules for face-to-face learning and cohort bonding</li><li>Classes scheduled Friday and Saturday evenings, Sunday mornings and afternoons - built for a working week</li><li><b>Interactive Learning 840+ hours</b> of instruction - 84 credits - 8 terms over 2 years</li><li>19 core courses in Year 1 spanning Data Science, AI, Analytics and General Management</li><li><b>A mandatory field project</b> applying your learning to a real business problem</li><li>Top-Tier Faculty & Industry Thought Leaders</li><li>Chamber Consulting VCC of 1 hour (weekly)</li><li>Elective tracks in Marketing Analytics & MarTech, Financial Analytics & FinTech, HR Strategy & Analytics, and Digital Supply Chains</li><li>Dedicated modules on <b>GenAI, Agentic AI, LLMs, and AI Ethics & Regulation</b></li></ul></p>",
"description_text": "Analytics and AI Without Management Is a Toolset. Management Without Analytics and AI Is a Guess.\nBusinesses increasingly need professionals who can understand data and AI and translate those capabilities into business decisions. The IIM Nagpur Blended MBA in Data Science and Management is designed for working professionals who want to build this combination of managerial, analytical and AI capabilities through an MBA-level curriculum.\n\nPROGRAMME PHILOSOPHY\n- Fluency over familiarity.\n- Application over abstraction.\n- Leadership as the destination.\n\nAdvantages of Blended MBA for Working Professionals\n- Flexibility and Convenience\n- Diverse Networking Opportunities\n- Cost Effectiveness\n- Access to Cutting-Edge Technology\n- Tailored Learning Experience\n- Improved Time Management Skills\n- Exposure to Global Business Practices\n- Enhanced Career Opportunities\n- Work-Life Balance\n\nPROGRAMME HIGHLIGHTS AT A GLANCE\n- IIM Nagpur Alumni Status\n- Group Projects, Business Simulations, Case Studies\n- 4 in-campus immersion modules for face-to-face learning and cohort bonding\n- Classes scheduled Friday and Saturday evenings, Sunday mornings and afternoons - built for a working week\n- Interactive Learning 840+ hours of instruction - 84 credits - 8 terms over 2 years\n- 19 core courses in Year 1 spanning Data Science, AI, Analytics and General Management\n- A mandatory field project applying your learning to a real business problem\n- Top-Tier Faculty & Industry Thought Leaders\n- Chamber Consulting VCC of 1 hour (weekly)\n- Elective tracks in Marketing Analytics & MarTech, Financial Analytics & FinTech, HR Strategy & Analytics, and Digital Supply Chains\n- Dedicated modules on GenAI, Agentic AI, LLMs, and AI Ethics & Regulation",
"eligibility_html": "<p></p><ul><li>A Bachelor's degree or equivalent with a minimum of 50% marks or equivalent CGPA from a UGC/AICTE-approved institution.</li><li>A minimum of <b>3 years</b> of full-time professional experience after graduation</li><li>A valid IIMNAT (IIM Nagpur Aptitude Test) Score</li><li>Designed for experienced working professionals looking to combine management expertise with data, analytics and AI capabilities.<br/></li><li>No prior coding experience required.</li></ul><p></p>",
"eligibility_text": "- A Bachelor's degree or equivalent with a minimum of 50% marks or equivalent CGPA from a UGC/AICTE-approved institution.\n- A minimum of 3 years of full-time professional experience after graduation\n- A valid IIMNAT (IIM Nagpur Aptitude Test) Score\n- Designed for experienced working professionals looking to combine management expertise with data, analytics and AI capabilities.\n- No prior coding experience required.",
"highlights_html": "<p><p><b>CURRICULUM: YEAR ONE<br/></b><b>19 Courses. 480 Hours. Four Terms.<br/></b><b>Term I</b></p><ul><li>Introduction to Computing (Python/R)</li><li>Introduction to Data Science</li><li>Economics Foundations</li><li>Marketing Management</li></ul><p><b>Term II</b></p><ul><li>Probability and Statistics</li><li>Data Visualization</li><li>Understanding Financial Statements</li><li>Corporate Finance</li><li>Operations and Supply Chain Management</li></ul><p><b>Term III</b></p><ul><li>Optimization Models</li><li>Artificial Intelligence Foundations</li><li>Human Resource Management in Digital Age</li><li>Indian Ethos</li><li>Digital Law & Ethics</li></ul><p><b>Term IV</b></p><ul><li>Managing and Using Information Systems</li><li>Data Mining</li><li>Research Methods</li><li>Strategic Management</li></ul><p><b>CURRICULUM: YEAR TWO</b></p><p><b>Tentative List of Electives ( From Term V-Term VIII)<br/></b></p><ul><li>Application of GenAI and Analytics into Enterprise Strategy</li><li>Natural Language Processing</li><li>Business and Leadership Communication</li><li>Business Data Mining and Decision Models</li><li>Agentic AI Models and Applications in Enterprise IT Consulting</li><li>Implementing AI in Your Organization</li><li>Managing ERP in Digital Age</li><li>IoT, Cloud Computing, Blockchain and Industry 4.0</li><li>Ethics, Privacy and Regulations in AI</li><li>Data Monetization and Governance</li><li>Business Process Simulation</li><li>Python Programming Fundamental</li><li>Prescriptive Analytics</li><li>Database Management Systems</li><li>Managerial Predictive Analytics</li><li>Time Series Analysis and Forecasting</li><li>Operations Analytics</li><li>Recommendation Systems</li><li>Supply Chain Management</li><li>Conversational AI and Virtual Assistance</li><li>Advanced Analytics</li><li>Agentic AI</li><li>Sales and Operations Planning</li><li>Generative AI for Managers</li></ul></p>",
"highlights_text": "CURRICULUM: YEAR ONE\n19 Courses. 480 Hours. Four Terms.\nTerm I\n- Introduction to Computing (Python/R)\n- Introduction to Data Science\n- Economics Foundations\n- Marketing Management\n\nTerm II\n- Probability and Statistics\n- Data Visualization\n- Understanding Financial Statements\n- Corporate Finance\n- Operations and Supply Chain Management\n\nTerm III\n- Optimization Models\n- Artificial Intelligence Foundations\n- Human Resource Management in Digital Age\n- Indian Ethos\n- Digital Law & Ethics\n\nTerm IV\n- Managing and Using Information Systems\n- Data Mining\n- Research Methods\n- Strategic Management\n\nCURRICULUM: YEAR TWO\n\nTentative List of Electives ( From Term V-Term VIII)\n- Application of GenAI and Analytics into Enterprise Strategy\n- Natural Language Processing\n- Business and Leadership Communication\n- Business Data Mining and Decision Models\n- Agentic AI Models and Applications in Enterprise IT Consulting\n- Implementing AI in Your Organization\n- Managing ERP in Digital Age\n- IoT, Cloud Computing, Blockchain and Industry 4.0\n- Ethics, Privacy and Regulations in AI\n- Data Monetization and Governance\n- Business Process Simulation\n- Python Programming Fundamental\n- Prescriptive Analytics\n- Database Management Systems\n- Managerial Predictive Analytics\n- Time Series Analysis and Forecasting\n- Operations Analytics\n- Recommendation Systems\n- Supply Chain Management\n- Conversational AI and Virtual Assistance\n- Advanced Analytics\n- Agentic AI\n- Sales and Operations Planning\n- Generative AI for Managers",
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"description_html": "<p><p><b>About Executive Programme in AI for Business:</b></p><p>This is a cutting-edge business application oriented program for AI technologists, specialists and enthusiasts to expedite their AI implementation skills in the industry. Over a period of 9 months, participants gain a rigorous understanding of all possible machine learning and deep learning algorithms in the context of solving current and future real world business problems using AI.</p><p><b>The programme provides an overview of various:</b></p><ul><li>Rigorous understanding of various machine learning algorithms <b>(supervised and unsupervised learning)</b> and deep learning algorithms<b> (text, speech, image)</b></li><li class=\"\">Foundational AI business applications <b>(sentiment analysis, recommender systems, </b><b>chatbots, audio and image processing)</b></li><li>Foundation of Gen AI, Implementation of <b>GenAI applications on Cloud AI Models</b></li><li>AI change and project management techniques and tools <b>(Agile, Scrum)</b></li><li>Industry specific AI use cases <b>(Fintech and Supply chain)</b></li><li>Industry best practices in AI transformation <b>(regulations, ethics and cyber risk)</b></li></ul><p><b>Program Outcomes</b></p><ul><li>Understand and appreciate the depth of AI's impact - emerging business models, disrupted business functions, predictive analytics methodologies, digital economy canvas.</li><li>Identify the most suitable machine learning or deep learning algorithms to solve specific business challenges, covering text, speech, and video.</li><li>Learn the inner workings of widely used machine learning and deep learning algorithms - from data to insights generation, and their interpretation.</li><li>Gain understanding of the foundational business applications using AI & ML such as sentiment analysis, recommender systems, chatbots, audio and image processing.</li><li>Acquire hands-on experience through project demos in real-world AI applications like heart disease prediction, product pricing, climate change analysis, etc.</li><li>Build Gen AI applications, chatbots, and bot frameworks on Cloud AI Models</li><li>Learn from successful AI implementation use cases in Fintech and Supply Chain, and apply them to your industry.</li><li>Adhere to industry practices regarding regulations, AI ethics, and cyber risk when deploying machine learning or deep learning algorithms.</li><li>Apply Agile Methodologies, Scrum project management, and change management principles for successful AI program delivery.</li><li>Develop strategies for AI product adoption, and effective management of AI transformation.</li></ul></p>",
"description_text": "About Executive Programme in AI for Business:\n\nThis is a cutting-edge business application oriented program for AI technologists, specialists and enthusiasts to expedite their AI implementation skills in the industry. Over a period of 9 months, participants gain a rigorous understanding of all possible machine learning and deep learning algorithms in the context of solving current and future real world business problems using AI.\n\nThe programme provides an overview of various:\n- Rigorous understanding of various machine learning algorithms (supervised and unsupervised learning) and deep learning algorithms (text, speech, image)\n- Foundational AI business applications (sentiment analysis, recommender systems, chatbots, audio and image processing)\n- Foundation of Gen AI, Implementation of GenAI applications on Cloud AI Models\n- AI change and project management techniques and tools (Agile, Scrum)\n- Industry specific AI use cases (Fintech and Supply chain)\n- Industry best practices in AI transformation (regulations, ethics and cyber risk)\n\nProgram Outcomes\n- Understand and appreciate the depth of AI's impact - emerging business models, disrupted business functions, predictive analytics methodologies, digital economy canvas.\n- Identify the most suitable machine learning or deep learning algorithms to solve specific business challenges, covering text, speech, and video.\n- Learn the inner workings of widely used machine learning and deep learning algorithms - from data to insights generation, and their interpretation.\n- Gain understanding of the foundational business applications using AI & ML such as sentiment analysis, recommender systems, chatbots, audio and image processing.\n- Acquire hands-on experience through project demos in real-world AI applications like heart disease prediction, product pricing, climate change analysis, etc.\n- Build Gen AI applications, chatbots, and bot frameworks on Cloud AI Models\n- Learn from successful AI implementation use cases in Fintech and Supply Chain, and apply them to your industry.\n- Adhere to industry practices regarding regulations, AI ethics, and cyber risk when deploying machine learning or deep learning algorithms.\n- Apply Agile Methodologies, Scrum project management, and change management principles for successful AI program delivery.\n- Develop strategies for AI product adoption, and effective management of AI transformation.",
"eligibility_html": "<p><b>Eligibility Criteria:</b></p><p>To be eligible, applicants must have a Bachelor's or Master's degree in Management, Computer<br/>Science, Engineering, Mathematics, Statistics, Economics, or Science with a minimum of <b>50%<br/></b><b>marks</b> earned during graduation and <b>2 years </b>of post-qualification experience.</p>",
"eligibility_text": "Eligibility Criteria:\n\nTo be eligible, applicants must have a Bachelor's or Master's degree in Management, Computer\nScience, Engineering, Mathematics, Statistics, Economics, or Science with a minimum of 50%\nmarks earned during graduation and 2 years of post-qualification experience.",
"highlights_html": "<p><p><b>Program Curriculum</b></p><p><b>AI/ML an Imperative for Digital Businesses</b></p><p><b>Module 1:</b></p><ul><li>The AI & ML landscape - Emerging Business Models</li><li>Predictive Analytics Methodology</li><li>Impact of AI technologies - Digital Economy Canvas</li><li>Data Preparation for AI/ML - Imputation Methods</li></ul><p><b>Fundamentals of Supervised Machine Learning</b></p><p><b>Module 2:</b></p><ul><li>Predictive Modelling using regression - Business scenarios / Best practices</li><li>Building explainable models using CART (Non-Parametric)</li><li>Predicting customer behavior (classification models) with less data</li><li>Advance predictive models by using big data (Non-Parametric)</li></ul><p><b>Understanding Unsupervised Machine Learning</b></p><p><b>Module 3:</b></p><ul><li>Customer behavior analysis using segmentation</li><li>Market Basket Analysis</li><li>Statistical methods to create implicit scoring factors (FA and PCA)</li></ul><p><b>Introduction to Deep Learning Algorithms</b></p><p><b>Module 4:</b></p><ul><li>A walkthrough with neural networks and Deep Learning</li><li>Advance techniques to get forecast of business KPIs (estimate of sales and demand)</li><li>Science behind AI for speech processing</li><li>How AI companies process text data</li><li>Understanding how vision works</li></ul><p><b>Practicing Machine Learning</b></p><p><b>Module 5:</b></p><ul><li>Heart Disease Prediction</li><li>Product Pricing</li><li>Climate Change Analysis</li><li>Taxi Fare Prediction</li><li>Targeted Marketing</li><li>Vehicular Performance Prediction</li></ul><p><b>Applications of AI / ML</b></p><p><b>Module 6:</b></p><ul><li>Sentiment Analysis</li><li>AI for Chatbots, best practices and guidelines</li><li>Recommender Systems</li><li>Image processing, Audio</li></ul><p><b>Frameworks for Delivering AI Solutions</b></p><p><b>Module 7:</b></p><ul><li>Agile Methodology</li><li>Scrum - Jira - Project Management</li><li>AI Project Life Cycle - Teams</li><li>AI Model Deployment - Regulations - AI Ethics - Cyber Risk</li></ul><p><b>Gen AI / AI in Cloud</b></p><p><b>Module 8:</b></p><ul><li>Build applications using Cloud AI models</li><li>Building chatbots using bot frameworks</li><li>Overview of GenAI & Foundational Models</li><li>Implementing GenAI applications</li></ul><p><b>AI in Practice</b></p><p><b>Module 9:</b></p><ul><li>AI in Financial Services - Fintech</li><li>AI in Supply chain</li><li>Building and driving the AI culture</li><li>Leadership and Change Management for AI</li></ul></p>",
"highlights_text": "Program Curriculum\n\nAI/ML an Imperative for Digital Businesses\n\nModule 1:\n- The AI & ML landscape - Emerging Business Models\n- Predictive Analytics Methodology\n- Impact of AI technologies - Digital Economy Canvas\n- Data Preparation for AI/ML - Imputation Methods\n\nFundamentals of Supervised Machine Learning\n\nModule 2:\n- Predictive Modelling using regression - Business scenarios / Best practices\n- Building explainable models using CART (Non-Parametric)\n- Predicting customer behavior (classification models) with less data\n- Advance predictive models by using big data (Non-Parametric)\n\nUnderstanding Unsupervised Machine Learning\n\nModule 3:\n- Customer behavior analysis using segmentation\n- Market Basket Analysis\n- Statistical methods to create implicit scoring factors (FA and PCA)\n\nIntroduction to Deep Learning Algorithms\n\nModule 4:\n- A walkthrough with neural networks and Deep Learning\n- Advance techniques to get forecast of business KPIs (estimate of sales and demand)\n- Science behind AI for speech processing\n- How AI companies process text data\n- Understanding how vision works\n\nPracticing Machine Learning\n\nModule 5:\n- Heart Disease Prediction\n- Product Pricing\n- Climate Change Analysis\n- Taxi Fare Prediction\n- Targeted Marketing\n- Vehicular Performance Prediction\n\nApplications of AI / ML\n\nModule 6:\n- Sentiment Analysis\n- AI for Chatbots, best practices and guidelines\n- Recommender Systems\n- Image processing, Audio\n\nFrameworks for Delivering AI Solutions\n\nModule 7:\n- Agile Methodology\n- Scrum - Jira - Project Management\n- AI Project Life Cycle - Teams\n- AI Model Deployment - Regulations - AI Ethics - Cyber Risk\n\nGen AI / AI in Cloud\n\nModule 8:\n- Build applications using Cloud AI models\n- Building chatbots using bot frameworks\n- Overview of GenAI & Foundational Models\n- Implementing GenAI applications\n\nAI in Practice\n\nModule 9:\n- AI in Financial Services - Fintech\n- AI in Supply chain\n- Building and driving the AI culture\n- Leadership and Change Management for AI",
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"description_html": "<p></p><p><b>A world-class, globally ranked international MBA. Delivered in India, for the first time.</b></p><p>The KEDGE MBA is co-delivered by KEDGE Business School (France) and Enabled by kl. It equips working professionals with global management skills through an innovative blended pedagogy - without interrupting their careers. This is a one-of-a-kind offering in India: a ground-breaking programme making International Gold Standard Education accessible to Indian students for the first time.<br/><br/></p><p><b>Program Snapshots:</b></p><ul><li><b>Top #24 Globally Ranked MBA</b> : Financial Times ranked international MBA from KEDGE Business School.</li><li><b>Triple Crown Accredited Excellence</b> - : Earn an MBA backed by AACSB, EQUIS and AMBA accreditation. </li><li><b>International Degree, Delivered in India: </b>International Degree, Delivered in India - Full-fledged, on-campus MBA credentials without career break or expense.</li><li><b>Future-Ready Management with AI Focus - : </b>Learn strategy, leadership, digital transformation and Generative AI applications from global experts- </li><li><b>Global Learning at Indian Cost: </b>International MBA experience at - 9 Lac all-inclusive. The same programme is offered in France at - 39,000</li><li><b>International Delivery & Pedagogy : </b>The program is delivered by KEDGE Faculty, and faculty hand-picked by KEDGE Business School - .</li></ul><p><b>Programme Objectives:</b></p><p>Through its structure and content, this programme will allow each participant to develop global mindset, within the Indian context.</p><ul><li><b>International Business Acumen: </b>Develop a deep understanding of the international challenges of business development - equipping participants to operate confidently across global markets and navigate cross-border complexity.</li><li><b>Entrepreneurial Leadership: </b>Develop leadership by cultivating an entrepreneurial mindset and integrating innovation-promoting approaches into one's management style - preparing participants to lead change from within any organisation.</li><li><b>Strategic Thinking & Analysis: </b>Increase mastery of strategic analysis tools and processes in order to strengthen the ability to imagine new development models - moving beyond convention to envision future-ready business strategies.</li><li><b>Operational Excellence in Change: </b>Strengthen operational capabilities for managing activity in a context of change - building the resilience and practical skills to lead teams and deliver results through uncertainty.</li></ul><p><b>Why Choose the KEDGE MBA?</b></p><ul><li><b>True International MBA Degree:</b> <b></b>The degree is directly awarded by KEDGE Business School, France - not a pathway or certificate.<b> A genuine European MBA credential.</b></li><li><b>Triple Crown Accreditation: </b>KEDGE holds AACSB, EQUIS and AMBA accreditations, placing it in the top 1% of business schools globally.</li><li><b>No Career Break Required:</b> Professionals continue working while earning their MBA. Zero relocation, no time-zone conflicts, no compromise on career</li><li><b>9,00,000: </b>Full programme cost with no hidden charges for travel abroad. Comparable & equitable to study-abroad, full-fledged credentials.</li><li><b>Global Faculty Network: </b>Taught by KEDGE & KEDGE approved Indian faculty, with 14 days in person teaching.</li><li><b>Flexible Blended Delivery: </b>80% online (async + live virtual classes) and 20% face-to-face immersive gatherings, with fly-in KEDGE professors. Learning adapts to professional schedules.</li><li><b>111% </b>salary increase for the alumni cohort measured by FT</li><li><b>Top 8 </b>globally for salary increase</li><li><p><b>Top 10</b> globally for career progression</p></li></ul><p></p>",
"description_text": "A world-class, globally ranked international MBA. Delivered in India, for the first time.\n\nThe KEDGE MBA is co-delivered by KEDGE Business School (France) and Enabled by kl. It equips working professionals with global management skills through an innovative blended pedagogy - without interrupting their careers. This is a one-of-a-kind offering in India: a ground-breaking programme making International Gold Standard Education accessible to Indian students for the first time.\n\nProgram Snapshots:\n- Top #24 Globally Ranked MBA : Financial Times ranked international MBA from KEDGE Business School.\n- Triple Crown Accredited Excellence - : Earn an MBA backed by AACSB, EQUIS and AMBA accreditation.\n- International Degree, Delivered in India: International Degree, Delivered in India - Full-fledged, on-campus MBA credentials without career break or expense.\n- Future-Ready Management with AI Focus - : Learn strategy, leadership, digital transformation and Generative AI applications from global experts-\n- Global Learning at Indian Cost: International MBA experience at - 9 Lac all-inclusive. The same programme is offered in France at - 39,000\n- International Delivery & Pedagogy : The program is delivered by KEDGE Faculty, and faculty hand-picked by KEDGE Business School - .\n\nProgramme Objectives:\n\nThrough its structure and content, this programme will allow each participant to develop global mindset, within the Indian context.\n- International Business Acumen: Develop a deep understanding of the international challenges of business development - equipping participants to operate confidently across global markets and navigate cross-border complexity.\n- Entrepreneurial Leadership: Develop leadership by cultivating an entrepreneurial mindset and integrating innovation-promoting approaches into one's management style - preparing participants to lead change from within any organisation.\n- Strategic Thinking & Analysis: Increase mastery of strategic analysis tools and processes in order to strengthen the ability to imagine new development models - moving beyond convention to envision future-ready business strategies.\n- Operational Excellence in Change: Strengthen operational capabilities for managing activity in a context of change - building the resilience and practical skills to lead teams and deliver results through uncertainty.\n\nWhy Choose the KEDGE MBA?\n- True International MBA Degree: The degree is directly awarded by KEDGE Business School, France - not a pathway or certificate. A genuine European MBA credential.\n- Triple Crown Accreditation: KEDGE holds AACSB, EQUIS and AMBA accreditations, placing it in the top 1% of business schools globally.\n- No Career Break Required: Professionals continue working while earning their MBA. Zero relocation, no time-zone conflicts, no compromise on career\n- 9,00,000: Full programme cost with no hidden charges for travel abroad. Comparable & equitable to study-abroad, full-fledged credentials.\n- Global Faculty Network: Taught by KEDGE & KEDGE approved Indian faculty, with 14 days in person teaching.\n- Flexible Blended Delivery: 80% online (async + live virtual classes) and 20% face-to-face immersive gatherings, with fly-in KEDGE professors. Learning adapts to professional schedules.\n- 111% salary increase for the alumni cohort measured by FT\n- Top 8 globally for salary increase\n-\nTop 10 globally for career progression",
"eligibility_html": "<p><p><b>Eligibility Criteria:</b></p><ul><li>Bachelor's Degree or equivalent qualification</li><li>Minimum <b>3 years</b> of professional work experience</li><li>JAGSoM entrance test (JAGMAT), AICTE Approved, or KEDGE assessment</li><li>English language proficiency to the satisfaction of KEDGE Business School</li><li>Clean academic standing - no history of plagiarism or disciplinary action</li><li><b>Interview</b>: mini-case presentation + faculty/admin panel interview</li></ul></p>",
"eligibility_text": "Eligibility Criteria:\n- Bachelor's Degree or equivalent qualification\n- Minimum 3 years of professional work experience\n- JAGSoM entrance test (JAGMAT), AICTE Approved, or KEDGE assessment\n- English language proficiency to the satisfaction of KEDGE Business School\n- Clean academic standing - no history of plagiarism or disciplinary action\n- Interview: mini-case presentation + faculty/admin panel interview",
"highlights_html": "<p><p><b>Curriculum Overview</b></p><p>Seven modules covering all critical dimensions of international management:</p><p><b>Business Strategy:</b></p><ul><li>Sustainable Corporate Strategy</li><li>Managing Innovation & Entrepreneurship</li><li>Customer Centricity & New Business Models</li><li>CSR & Climate Change Impacts</li></ul><p><b>Operations Management</b></p><ul><li>Project Management</li><li>Business Digital Transformation</li><li>Logistics & Supply Chain Mgmt</li><li>Information System & Data Asset Mgmt</li></ul><p><b>Leading & Managing People</b></p><ul><li>Leadership & Talent Management</li><li>Change Management</li><li>Collective Coaching & Development</li><li>Multicultural Negotiation</li></ul><p><b>Finance & Accounting</b></p><ul><li>Financial Accounting</li><li>Corporate Finance</li></ul><p><b>Marketing</b></p><ul><li>Marketing Management</li><li>Creating Value through Data Science</li></ul><p><b>Local Topics</b></p><ul><li>Gen AI for Business Ops & Automation</li><li>Governance, Ethics & Responsible AI</li></ul><p><b>Business Project</b></p><p><ul><li>Business Research Methods</li><li>Capstone Project</li></ul><b></b></p><b></b><b></b><b></b><b></b><b></b><b></b></p>",
"highlights_text": "Curriculum Overview\n\nSeven modules covering all critical dimensions of international management:\n\nBusiness Strategy:\n- Sustainable Corporate Strategy\n- Managing Innovation & Entrepreneurship\n- Customer Centricity & New Business Models\n- CSR & Climate Change Impacts\n\nOperations Management\n- Project Management\n- Business Digital Transformation\n- Logistics & Supply Chain Mgmt\n- Information System & Data Asset Mgmt\n\nLeading & Managing People\n- Leadership & Talent Management\n- Change Management\n- Collective Coaching & Development\n- Multicultural Negotiation\n\nFinance & Accounting\n- Financial Accounting\n- Corporate Finance\n\nMarketing\n- Marketing Management\n- Creating Value through Data Science\n\nLocal Topics\n- Gen AI for Business Ops & Automation\n- Governance, Ethics & Responsible AI\n\nBusiness Project\n- Business Research Methods\n- Capstone Project",
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"title": "IIT Bombay | Executive Leadership for CMOs in the Age of AI",
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"description_html": "<p><p><b>ABOUT THE PROGRAMME:</b></p><p>The 8-month Executive Leadership for CMOs in the Age of AI programme is India's first executive programme integrating marketing strategy, data-driven growth, and Artificial Intelligence. Designed and delivered by IIT Bombay, the country's top-ranked institution for innovation, the programme is structured around two key pillars:</p><ul><li>Marketing Leadership and Business Strategy</li><li>AI, Agentic AI, and Marketing Analytics</li></ul><p>Delivered through live online sessions, case-based learning, a Capstone Project, and <b>two campus immersions</b> at IIT Bombay, the programme equips leaders to drive strategic business impact in an increasingly AI-driven marketing landscape. Upon successful completion, learners receive a Certificate of Completion from <b>IIT Bombay</b></p><p></p><p><b>KEY HIGHLIGHTS:</b></p><ul><li>Designed and Delivered by IIT Bombay Faculty, International Faculty, Industry Experts, and Leaders</li><li>Two On-Campus Immersions at IIT Bombay</li><li>AI, Agentic AI, and Marketing Analytics-Focused Curriculum</li><li>Capstone Project</li><li>Dedicated Programme Support</li></ul><p><b>WHO IS THIS PROGRAMME FOR?</b></p><ul><li>Marketing and Sales Leaders and Aspiring CMOs</li><li>Senior Marketing Professionals</li><li><p>Business Heads, Entrepreneurs, and Founders</p></li><li><p>Functional Leaders</p></li></ul></p>",
"description_text": "ABOUT THE PROGRAMME:\n\nThe 8-month Executive Leadership for CMOs in the Age of AI programme is India's first executive programme integrating marketing strategy, data-driven growth, and Artificial Intelligence. Designed and delivered by IIT Bombay, the country's top-ranked institution for innovation, the programme is structured around two key pillars:\n- Marketing Leadership and Business Strategy\n- AI, Agentic AI, and Marketing Analytics\n\nDelivered through live online sessions, case-based learning, a Capstone Project, and two campus immersions at IIT Bombay, the programme equips leaders to drive strategic business impact in an increasingly AI-driven marketing landscape. Upon successful completion, learners receive a Certificate of Completion from IIT Bombay\n\nKEY HIGHLIGHTS:\n- Designed and Delivered by IIT Bombay Faculty, International Faculty, Industry Experts, and Leaders\n- Two On-Campus Immersions at IIT Bombay\n- AI, Agentic AI, and Marketing Analytics-Focused Curriculum\n- Capstone Project\n- Dedicated Programme Support\n\nWHO IS THIS PROGRAMME FOR?\n- Marketing and Sales Leaders and Aspiring CMOs\n- Senior Marketing Professionals\n-\nBusiness Heads, Entrepreneurs, and Founders\n\n-\nFunctional Leaders",
"eligibility_html": "<p><ul><li><b>Educational Background:</b> Bachelor's or Master's degree (or higher qualification) in business administration/marketing from a recognised university.</li><li><b>Professional Experience: </b>Minimum of <b>8 years </b>of relevant professional work experience.</li></ul></p>",
"eligibility_text": "- Educational Background: Bachelor's or Master's degree (or higher qualification) in business administration/marketing from a recognised university.\n- Professional Experience: Minimum of 8 years of relevant professional work experience.",
"highlights_html": "<p><b>Module 1: Business Models, Competitive Landscape, and Growth Strategy</b></p><p><b>Topics Covered:</b></p><ul><li>Product, subscription, platform, and ecosystem-based business models</li><li>Growth strategy: core growth, adjacency expansion, and new growth bets</li><li>The evolution of marketing: from performance marketing to phygital, omnichannel, immersive</li><li>experiences, and Marketing 6.0</li><li>Hyper-personalisation and its implications</li><li>CMO strategies for balancing technology, data, and AI to sustain market leadership</li></ul><p><b>Module 2: Customer Value Chain Analysis and Experience Management</b></p><p><b>Topics Covered:</b></p><ul><li>Buyer personas and consumer behaviour across omnichannel journeys</li><li>Decoding the customer experience</li><li>Customer value chain analysis and customer lifetime value modelling</li><li>New approaches to market segmentation</li><li>Customer engagement, brand communities, and next-generation immersive experiences</li></ul><p><b>Module 3: Product and Brand Strategy in Digital and AI-Mediated Markets</b></p><p><b>Topics Covered:</b></p><ul><li>Product management and product-market fit in digital markets</li><li>Building and measuring brand equity: new tools and brand valuation models</li><li>Promotion strategy across traditional and digital channels</li><li>Influencer marketing strategy</li></ul><p><b>Module 4: Revenue, Pricing, and Go-To-Market Strategy</b></p><p><b>Topics Covered:</b></p><ul><li>Value-based pricing models and linking brand investment to margins using conjoint analysis</li><li>Evolving pricing architectures: BNPL, freemium, monetisation layers, and AI-driven dynamic pricing</li><li>Omnichannel go-to-market strategy and channel design</li><li>Measuring GTM eectiveness and revenue ROI</li></ul><p><b>Module 5: Researching Customers: Evidence Over Intuition</b></p><p><b>Topics Covered:</b></p><ul><li>Experimental design and A/B testing at scale</li><li>Neuromarketing research to understand subconscious consumer responses</li><li>Digital and real-time research: social listening, customer journey analytics, and behavioural data</li></ul><p><b>Module 6: AI Foundations and the Agentic AI Paradigm for Marketing</b></p><p><b>Topics Covered:</b></p><ul><li>AI foundations and Prompt Engineering for marketing leaders</li><li>The evolution from traditional marketing automation to agentic AI for marketing</li><li>The agentic AI for marketing paradigm and its implications for strategy, operations, and organisational design</li></ul><p><b>Module 7: Digital Marketing Communications: The Core and the Agentic Evolution</b></p><p><b>Topics Covered:</b></p><ul><li>The shift from SEO to AI-mediated search: SGE, GEO, and the agentic web</li><li>Automated brand identity with Google Pomelli</li><li>High-velocity content marketing</li><li>Paid media, attribution, and data-driven performance</li><li>Social engagement, community building, and social media orchestration with visual scaling</li><li>Email marketing and lifecycle management: conversational CRM and the \"Claude Skill\" writer</li><li>The hybrid MarTech stack from no-code to AI-code</li><li>Agentic AI for sales, channels, and distribution</li></ul><p><b>Module 8: Marketing Analytics and Agents</b></p><p><b>Topics Covered:</b></p><p><ul><li>Descriptive, predictive, and prescriptive analytics as a decision-making framework</li><li>Multi-channel data ingestion agents</li><li>Customer journey and attribution agents</li><li>Audience intelligence and segmentation agents</li><li>Campaign anomaly detection and alerting</li><li>Predictive analytics and revenue forecasting</li><li>Budget optimisation and media mix agents</li><li>Content and creative performance agents</li><li>Competitive intelligence agents</li><li>Marketing Command Centre and agent orchestration</li><li>Predictive modelling for demand forecasting and churn modelling</li><li>Governance and ethics</li></ul><b></b></p>",
"highlights_text": "Module 1: Business Models, Competitive Landscape, and Growth Strategy\n\nTopics Covered:\n- Product, subscription, platform, and ecosystem-based business models\n- Growth strategy: core growth, adjacency expansion, and new growth bets\n- The evolution of marketing: from performance marketing to phygital, omnichannel, immersive\n- experiences, and Marketing 6.0\n- Hyper-personalisation and its implications\n- CMO strategies for balancing technology, data, and AI to sustain market leadership\n\nModule 2: Customer Value Chain Analysis and Experience Management\n\nTopics Covered:\n- Buyer personas and consumer behaviour across omnichannel journeys\n- Decoding the customer experience\n- Customer value chain analysis and customer lifetime value modelling\n- New approaches to market segmentation\n- Customer engagement, brand communities, and next-generation immersive experiences\n\nModule 3: Product and Brand Strategy in Digital and AI-Mediated Markets\n\nTopics Covered:\n- Product management and product-market fit in digital markets\n- Building and measuring brand equity: new tools and brand valuation models\n- Promotion strategy across traditional and digital channels\n- Influencer marketing strategy\n\nModule 4: Revenue, Pricing, and Go-To-Market Strategy\n\nTopics Covered:\n- Value-based pricing models and linking brand investment to margins using conjoint analysis\n- Evolving pricing architectures: BNPL, freemium, monetisation layers, and AI-driven dynamic pricing\n- Omnichannel go-to-market strategy and channel design\n- Measuring GTM eectiveness and revenue ROI\n\nModule 5: Researching Customers: Evidence Over Intuition\n\nTopics Covered:\n- Experimental design and A/B testing at scale\n- Neuromarketing research to understand subconscious consumer responses\n- Digital and real-time research: social listening, customer journey analytics, and behavioural data\n\nModule 6: AI Foundations and the Agentic AI Paradigm for Marketing\n\nTopics Covered:\n- AI foundations and Prompt Engineering for marketing leaders\n- The evolution from traditional marketing automation to agentic AI for marketing\n- The agentic AI for marketing paradigm and its implications for strategy, operations, and organisational design\n\nModule 7: Digital Marketing Communications: The Core and the Agentic Evolution\n\nTopics Covered:\n- The shift from SEO to AI-mediated search: SGE, GEO, and the agentic web\n- Automated brand identity with Google Pomelli\n- High-velocity content marketing\n- Paid media, attribution, and data-driven performance\n- Social engagement, community building, and social media orchestration with visual scaling\n- Email marketing and lifecycle management: conversational CRM and the \"Claude Skill\" writer\n- The hybrid MarTech stack from no-code to AI-code\n- Agentic AI for sales, channels, and distribution\n\nModule 8: Marketing Analytics and Agents\n\nTopics Covered:\n- Descriptive, predictive, and prescriptive analytics as a decision-making framework\n- Multi-channel data ingestion agents\n- Customer journey and attribution agents\n- Audience intelligence and segmentation agents\n- Campaign anomaly detection and alerting\n- Predictive analytics and revenue forecasting\n- Budget optimisation and media mix agents\n- Content and creative performance agents\n- Competitive intelligence agents\n- Marketing Command Centre and agent orchestration\n- Predictive modelling for demand forecasting and churn modelling\n- Governance and ethics",
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{
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"title": "Talent 500 & Interview Kickstart| Transformative GenAI & Agentic AI + Interview Lab For Backend Engineers",
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"description_html": "<p><p><b>Program Overview:</b></p><p><b>Transformative GenAI + Interview Preparation for Backend Engineers</b></p><p>This 33-week integrated program is designed for backend software engineers who want to build production-grade agentic AI systems and position themselves for senior backend and AI engineering roles at MAANG+ companies. It combines hands-on agentic AI development - built through 8 live guided projects - with structured interview preparation covering DSA, system design, and backend domain rounds.</p><p></p><p><b>A Unique Dual-Track Design</b></p><p>What you build is what you interview with. Live guided projects become system design case studies. Trade-off decisions become leadership discussion points. Capstone architecture maps directly to MAANG backend design rounds.<br/><br/></p><p><b>Key Highlights:</b></p><ul><li>9 Live Guided Projects</li><li>End-to-End Curriculum</li><li>Enterprise Capstone</li><li>Interview Ready by Design</li><li>Expert Led Instruction</li><li>20 Mock Interviews</li><li>Portfolio & Practise Integration</li></ul></p>",
"description_text": "Program Overview:\n\nTransformative GenAI + Interview Preparation for Backend Engineers\n\nThis 33-week integrated program is designed for backend software engineers who want to build production-grade agentic AI systems and position themselves for senior backend and AI engineering roles at MAANG+ companies. It combines hands-on agentic AI development - built through 8 live guided projects - with structured interview preparation covering DSA, system design, and backend domain rounds.\n\nA Unique Dual-Track Design\n\nWhat you build is what you interview with. Live guided projects become system design case studies. Trade-off decisions become leadership discussion points. Capstone architecture maps directly to MAANG backend design rounds.\n\nKey Highlights:\n- 9 Live Guided Projects\n- End-to-End Curriculum\n- Enterprise Capstone\n- Interview Ready by Design\n- Expert Led Instruction\n- 20 Mock Interviews\n- Portfolio & Practise Integration",
"eligibility_html": "<p><b>Who This Program Is For</b></p><p><ul><li><b>Backend Engineers Moving Into AI Roles: </b>Engineers who want to design and integrate agentic AI systems into real applications - moving beyond basic API usage to production-grade AI workflows and system design.</li><li><b>Backend Engineers Expanding Their Scope: </b>Developers who want to build AI-powered and agentic systems, gaining both hands-on experience and interview-ready design skills.</li><li><b>Engineers Targeting MAANG+ Backend Roles: </b>Professionals who want structured, rigorous preparation covering DSA, system design, backend domain depth, and agentic AI design rounds.</li><li><b>Engineers Rebuilding AI Literacy: </b>Backend practitioners who have used AI APIs casually and want to understand how to design, evaluate, and operate these systems properly at scale.</li></ul></p>",
"eligibility_text": "Who This Program Is For\n- Backend Engineers Moving Into AI Roles: Engineers who want to design and integrate agentic AI systems into real applications - moving beyond basic API usage to production-grade AI workflows and system design.\n- Backend Engineers Expanding Their Scope: Developers who want to build AI-powered and agentic systems, gaining both hands-on experience and interview-ready design skills.\n- Engineers Targeting MAANG+ Backend Roles: Professionals who want structured, rigorous preparation covering DSA, system design, backend domain depth, and agentic AI design rounds.\n- Engineers Rebuilding AI Literacy: Backend practitioners who have used AI APIs casually and want to understand how to design, evaluate, and operate these systems properly at scale.",
"highlights_html": "<p><b>Program Structure:</b></p><p></p><ul><li><b>Weeks 0-11</b>:9 live guided projects: reflex agents - RAG - multi-agent orchestration - enterprise capstone</li><li><b>Self-paced</b>: 5 supplementary modules: AI dev, prompting, multi-agent, LLM frameworks, deployment</li><li><b>Weeks 12-15: </b>Case-based design reasoning: patterns, orchestration, memory, retrieval, evals, guardrails, ops</li><li><b>Weeks 16-25: </b>Sorting, recursion, trees, graphs, DP - structured for MAANG coding rounds</li><li><b>Weeks 26-31: </b>Online, batch, stream processing - APIs, databases, cloud-native patterns</li><li><b>Weeks 32-39: </b>Database design, object modeling, API design, cloud-native architecture, concurrency</li><li><b>Weeks 40-42: </b>Interview strategy, positioning, professional branding</li><li><b>Week 43+: </b>6 months Support Period: 15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews</li></ul><p></p>",
"highlights_text": "Program Structure:\n- Weeks 0-11:9 live guided projects: reflex agents - RAG - multi-agent orchestration - enterprise capstone\n- Self-paced: 5 supplementary modules: AI dev, prompting, multi-agent, LLM frameworks, deployment\n- Weeks 12-15: Case-based design reasoning: patterns, orchestration, memory, retrieval, evals, guardrails, ops\n- Weeks 16-25: Sorting, recursion, trees, graphs, DP - structured for MAANG coding rounds\n- Weeks 26-31: Online, batch, stream processing - APIs, databases, cloud-native patterns\n- Weeks 32-39: Database design, object modeling, API design, cloud-native architecture, concurrency\n- Weeks 40-42: Interview strategy, positioning, professional branding\n- Week 43+: 6 months Support Period: 15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews",
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{
"id": 2922,
"title": "Talent 500 & Interview Kickstart| Transformative GenAI & Agentic AI + Interview Lab For Engineering Managers",
"link": "https://www.iimjobs.com/course/Talent-500%20%26%20Interview%20Kickstart%7C%20Transformative%20GenAI%20%26%20Agentic%20AI%20%2B%20Interview%20Lab%20For%20Engineering%20Managers-2922",
"institute": "Talent 500",
"accreditation": null,
"tagline": "Lead AI-Powered Teams. Secure Top EM Roles.",
"fee": {
"text": "1.5 to 2.8 lakhs",
"min": 150000,
"max": 280000,
"currency": "INR",
"is_gst_extra": false
},
"duration": "34 Weeks",
"duration_months": 7.8,
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"description_html": "<p><b>Program Overview</b></p><p><b>Transformative GenAI + Interview Preparation for Engineering Managers</b></p><p>This integrated program is designed for Engineering Managers who want to lead AI-powered teams in production and position themselves for top EM roles. It combines hands-on mastery of Agentic GenAI systems with structured interview preparation aligned to senior engineering leadership expectations.</p><p></p><p>You'll progress from core Agentic AI foundations to industry-relevant systems and automation workflows, while simultaneously strengthening system design, leadership judgment, and execution narratives expected in MAANG+ and tier-1 EM interviews.</p><p></p><p><b>A Unique Dual-Track Strategy</b></p><p>What you build is what you interview with. GenAI projects become system design case studies. Agent tradeoffs and metrics become leadership discussion points. Capstone architectures map directly to EM design rounds.</p><p></p><p><b>Key Highlights:</b></p><p><ul><li>Lead teams building production-grade agentic AI systems</li><li>7 progressive live projects</li><li>4-week dedicated Agentic AI interview prep for EMs</li><li>Leadership-first EM interview framework (6 sessions)</li><li>15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews + 6-months support</li><li>10+ named agentic design patterns</li><li>Voice, multimodal & protocol-driven systems (MCP / A2A / ACP)</li><li>Engineering-first system design tradeoffs (cost,latency, reliability)</li><li>Built for working Engineering Managers</li></ul></p>",
"description_text": "Program Overview\n\nTransformative GenAI + Interview Preparation for Engineering Managers\n\nThis integrated program is designed for Engineering Managers who want to lead AI-powered teams in production and position themselves for top EM roles. It combines hands-on mastery of Agentic GenAI systems with structured interview preparation aligned to senior engineering leadership expectations.\n\nYou'll progress from core Agentic AI foundations to industry-relevant systems and automation workflows, while simultaneously strengthening system design, leadership judgment, and execution narratives expected in MAANG+ and tier-1 EM interviews.\n\nA Unique Dual-Track Strategy\n\nWhat you build is what you interview with. GenAI projects become system design case studies. Agent tradeoffs and metrics become leadership discussion points. Capstone architectures map directly to EM design rounds.\n\nKey Highlights:\n- Lead teams building production-grade agentic AI systems\n- 7 progressive live projects\n- 4-week dedicated Agentic AI interview prep for EMs\n- Leadership-first EM interview framework (6 sessions)\n- 15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews + 6-months support\n- 10+ named agentic design patterns\n- Voice, multimodal & protocol-driven systems (MCP / A2A / ACP)\n- Engineering-first system design tradeoffs (cost,latency, reliability)\n- Built for working Engineering Managers",
"eligibility_html": "<p><b>Who This Program Is For</b></p><p><ul><li><b>Engineering Managers</b>: Leading teams today and expected to guide AI adoption responsibly.</li><li><b>Technical Leaders/Tech Leads</b>: Preparing to transition into EM or AI-first leadership roles.</li><li><b>Aspiring EMs</b>: With strong technical foundations and real team exposure.</li></ul></p>",
"eligibility_text": "Who This Program Is For\n- Engineering Managers: Leading teams today and expected to guide AI adoption responsibly.\n- Technical Leaders/Tech Leads: Preparing to transition into EM or AI-first leadership roles.\n- Aspiring EMs: With strong technical foundations and real team exposure.",
"highlights_html": "<p><b>Program Structure</b></p><p><ul><li><b>Weeks 0-9</b>: Agentic AI Foundations + 7 Live Guided Projects + Capstone</li><li><b>Weeks 10-13</b>: Weeks 10-13 Agentic AI Interview Prep (4 weeks)</li><li><b>Weeks 14-23</b>: Coding & Algorithms (Sorting, Recursion, Trees, Graphs, DP)</li><li><b>Weeks 24-29</b>: Scalable System Design (Online, Batch, Stream Processing)</li><li><b>Weeks 30-31</b>: Careers Workshop (Resume, LinkedIn, Negotiation)</li><li><b>Weeks 32-33</b>: Leadership Workshop (4 Sessions)</li><li><b>6 Months Support: </b>15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews</li></ul></p>",
"highlights_text": "Program Structure\n- Weeks 0-9: Agentic AI Foundations + 7 Live Guided Projects + Capstone\n- Weeks 10-13: Weeks 10-13 Agentic AI Interview Prep (4 weeks)\n- Weeks 14-23: Coding & Algorithms (Sorting, Recursion, Trees, Graphs, DP)\n- Weeks 24-29: Scalable System Design (Online, Batch, Stream Processing)\n- Weeks 30-31: Careers Workshop (Resume, LinkedIn, Negotiation)\n- Weeks 32-33: Leadership Workshop (4 Sessions)\n- 6 Months Support: 15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews",
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{
"id": 2921,
"title": "Talent 500 & Interview Kickstart | Forward Deployed AI Engineering",
"link": "https://www.iimjobs.com/course/Talent-500%20%26%20Interview%20Kickstart%20%7C%20Forward%20Deployed%20AI%20Engineering-2921",
"institute": "Talent 500",
"accreditation": null,
"tagline": "Kickstart a High-Paying Forward Deployed AI Engineering Career (FDE)",
"fee": {
"text": "2.75 Lakh",
"min": 275000,
"max": 275000,
"currency": "INR",
"is_gst_extra": false
},
"duration": "23 Weeks",
"duration_months": 5.3,
"delivery_method": "Online",
"work_experience": {
"min_years": 5,
"max_years": 30
},
"locations": [
"Anywhere"
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"categories": [
{
"id": 15,
"name": "IT & Systems"
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"skills": [],
"description_html": "<p><b>The role every AI-first company is racing to hire.</b></p><p>Agentic AI has moved past the prototype - companies now need engineers who can take a customer problem <b>all the way to a production system</b>. That's a different job from traditional software engineering.</p><p></p><p class=\"\">The gap isn't software engineering talent. <b>It's engineers who can deploy AI into real customer environments.</b></p><p class=\"\"><b><br/></b></p><p><b>Companies in India are already paying for this skill.</b></p><p>Forward Deployed AI Engineering isn't a future category in India - it's already being <b>hired for, funded, and paid at a premium.</b></p><p></p><p><b>Where this role sits - and pays.</b></p><p>Forward Deployed AI Engineering is a senior inflection point, not an entry rung. It sits where three skill domains overlap - which is exactly why it pays what it does.</p>",
"description_text": "The role every AI-first company is racing to hire.\n\nAgentic AI has moved past the prototype - companies now need engineers who can take a customer problem all the way to a production system. That's a different job from traditional software engineering.\n\nThe gap isn't software engineering talent. It's engineers who can deploy AI into real customer environments.\n\nCompanies in India are already paying for this skill.\n\nForward Deployed AI Engineering isn't a future category in India - it's already being hired for, funded, and paid at a premium.\n\nWhere this role sits - and pays.\n\nForward Deployed AI Engineering is a senior inflection point, not an entry rung. It sits where three skill domains overlap - which is exactly why it pays what it does.",
"eligibility_html": "<p><b>Engineers from any of these roles fit:</b></p><p><ul><li>Backend / Fullstack / Platform Engineers</li><li>Senior Software Engineers</li><li>Machine Learning Engineers</li><li>Data Engineers</li><li>Customer / Solutions Engineers AWS, Azure, GCP</li><li>Solutions Engineers at AI startups</li><li>DevOps / Platform / SRE Engineers</li><li>TPMs & Engineering Managers (hands-on)</li></ul></p>",
"eligibility_text": "Engineers from any of these roles fit:\n- Backend / Fullstack / Platform Engineers\n- Senior Software Engineers\n- Machine Learning Engineers\n- Data Engineers\n- Customer / Solutions Engineers AWS, Azure, GCP\n- Solutions Engineers at AI startups\n- DevOps / Platform / SRE Engineers\n- TPMs & Engineering Managers (hands-on)",
"highlights_html": "<p><ul><li><b>Weeks 1-11</b>: AI Engineering Spine</li><li><b>Week 12</b>: AI Assisted Coding</li><li><b>Weeks 13-17</b>: FDE Spine</li><li><b>Weeks 18-23</b>: Interview Prep</li><li><b>Week 23</b>: FDE Ready</li></ul><p><b>Phase 1- Week 1 to 12</b></p><p>Build the <b>AI Engineering depth, </b>agents, RAG, evaluation, fine-tuning-with the live project almost every week.<br/><br/><b>Phase 2- Week 13 to 17</b></p><p>Add the<b> distinctly FDE craft- </b>discovery, scoping, enterprise wiring, deployment, handover.</p><p><br/><b>Phase 3- Week 18 to 23</b></p><p>Rehearse the <b>real FDE interview loop-</b>case decomposition, AI assisted pair coding, procurement and security.</p></p>",
"highlights_text": "- Weeks 1-11: AI Engineering Spine\n- Week 12: AI Assisted Coding\n- Weeks 13-17: FDE Spine\n- Weeks 18-23: Interview Prep\n- Week 23: FDE Ready\n\nPhase 1- Week 1 to 12\n\nBuild the AI Engineering depth, agents, RAG, evaluation, fine-tuning-with the live project almost every week.\n\nPhase 2- Week 13 to 17\n\nAdd the distinctly FDE craft- discovery, scoping, enterprise wiring, deployment, handover.\n\nPhase 3- Week 18 to 23\n\nRehearse the real FDE interview loop-case decomposition, AI assisted pair coding, procurement and security.",
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{
"id": 2920,
"title": "XLRI | Executive Development Programme In Ai for Finance",
"link": "https://www.iimjobs.com/course/XLRI-%7C%20Executive%20Development%20Programme%20In%20Ai%20for%20Finance-2920",
"institute": "XLRI",
"accreditation": null,
"tagline": "Lead the AI-Enabled Finance Revolution",
"fee": {
"text": "₹2,50,000 + GST",
"min": 250000,
"max": 250000,
"currency": "INR",
"is_gst_extra": true
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"duration": "8 Months",
"duration_months": 8,
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"categories": [
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"id": 13,
"name": "Banking & Finance"
},
{
"id": 16,
"name": "Consulting"
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"id": 1787,
"name": "Finance Head",
"link": "https://www.iimjobs.com/k/finance-head-jobs"
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{
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"name": "Finance and Accounts",
"link": "https://www.iimjobs.com/k/finance-and-accounts-jobs"
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"link": "https://www.iimjobs.com/k/corporate-finance-jobs"
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{
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"link": "https://www.iimjobs.com/k/icwa-jobs"
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{
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"link": "https://www.iimjobs.com/k/ca-jobs"
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{
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"link": "https://www.iimjobs.com/k/financial-analysis-jobs"
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{
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"link": "https://www.iimjobs.com/k/m-a-jobs"
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"id": 33,
"name": "Compensation and Rewards",
"link": "https://www.iimjobs.com/k/compensation-and-rewards-jobs"
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{
"id": 269,
"name": "Financial Planning",
"link": "https://www.iimjobs.com/k/financial-planning-jobs"
}
],
"description_html": "<p><p><b>The Finance Function Is Moving Fast</b></p><p>Al adoption in finance has accelerated sharply over the past three years - and the gap between early adopters and the rest is widening.</p><ul><li><b>#1 Financial Services ranks</b> as the most Al exposed sector globally, making Al a critical capability for finance professionals.</li><li><b>77.4% Al-related job postings</b> in Financial Services grew 77.4% in 2025, significantly outpacing overall hiring in the sector.</li><li><b>53% Professionals with Al capabilities</b> in Financial Services command an average 53% wage premium over non-Al roles.</li><li><b>88% Most Al hiring</b> is for professionals who can apply Al in finance, not build Al systems highlighting the growing need for Al-literate finance leaders.</li></ul><p>This programme equips finance professionals with practical fluency in artificial intelligence, enabling them to confidently understand, use, and evaluate Al technologies within modern financial and fintech environments. It is designed to bridge the ga between traditional finance expertise and emerging Al-driven decision systems, helping participants move beyond conceptual awareness to hands on familiarity with the tools, models, and workflows increasingly used across the finance function.</p><p></p><p><b>Why This Programme:</b></p><ul><li><b>Al First, Not Generic Al: </b>A specialized programme focused exclusively on finance, banking, audit,</li><li>risk, compliance, and fintech covering practical Al applications relevant to finance professionals rather than generic Al concepts.</li><li><b>Accessible, No-Code First: </b>Al is introduced using accessible tools like Gen Al platforms, Excel, Power BI, Python demonstrations, Google Colab, and no-code platforms, making it suitable even without a technical background.</li><li><b>Spans the Entire Finance Value Chain: </b>Al is introduced using accessible tools like Gen Al platforms, Excel, Power BI, Python demonstrations, Google Colab, and no-code platforms, making it suitable even without a technical background.</li></ul></p>",
"description_text": "The Finance Function Is Moving Fast\n\nAl adoption in finance has accelerated sharply over the past three years - and the gap between early adopters and the rest is widening.\n- #1 Financial Services ranks as the most Al exposed sector globally, making Al a critical capability for finance professionals.\n- 77.4% Al-related job postings in Financial Services grew 77.4% in 2025, significantly outpacing overall hiring in the sector.\n- 53% Professionals with Al capabilities in Financial Services command an average 53% wage premium over non-Al roles.\n- 88% Most Al hiring is for professionals who can apply Al in finance, not build Al systems highlighting the growing need for Al-literate finance leaders.\n\nThis programme equips finance professionals with practical fluency in artificial intelligence, enabling them to confidently understand, use, and evaluate Al technologies within modern financial and fintech environments. It is designed to bridge the ga between traditional finance expertise and emerging Al-driven decision systems, helping participants move beyond conceptual awareness to hands on familiarity with the tools, models, and workflows increasingly used across the finance function.\n\nWhy This Programme:\n- Al First, Not Generic Al: A specialized programme focused exclusively on finance, banking, audit,\n- risk, compliance, and fintech covering practical Al applications relevant to finance professionals rather than generic Al concepts.\n- Accessible, No-Code First: Al is introduced using accessible tools like Gen Al platforms, Excel, Power BI, Python demonstrations, Google Colab, and no-code platforms, making it suitable even without a technical background.\n- Spans the Entire Finance Value Chain: Al is introduced using accessible tools like Gen Al platforms, Excel, Power BI, Python demonstrations, Google Colab, and no-code platforms, making it suitable even without a technical background.",
"eligibility_html": "<p><p><b>Eligibility:</b></p><p>This programme is designed for a diverse group of professionals and aspiring experts sitting at the intersection of finance and technology</p><p><b>Indian Participants</b></p><ul><li>Graduates (10+2+3) or Diploma Holders (10+2+3 or 10+2+4) from a recognised university (UGC/AICTE/DEC/AIU/State Government) in any discipline.</li><li>Diploma holders with relevant work experience may be considered on a case-by-case basis.</li></ul><b>International Participants</b><br/><ul><li>Graduation or equivalent degree from any recognised University or Institution in their respective country.</li></ul><p><b>Also Open To</b></p><ul><li>Professionals with strong academic or professional credentials - such as an M.Com, CA, CMA, or CFA.</li><li>Tech-savvy individuals looking to pivot into finance, provided they bring a high degree of comfort with technology.</li></ul></p>",
"eligibility_text": "Eligibility:\n\nThis programme is designed for a diverse group of professionals and aspiring experts sitting at the intersection of finance and technology\n\nIndian Participants\n- Graduates (10+2+3) or Diploma Holders (10+2+3 or 10+2+4) from a recognised university (UGC/AICTE/DEC/AIU/State Government) in any discipline.\n- Diploma holders with relevant work experience may be considered on a case-by-case basis.\n\nInternational Participants\n- Graduation or equivalent degree from any recognised University or Institution in their respective country.\n\nAlso Open To\n- Professionals with strong academic or professional credentials - such as an M.Com, CA, CMA, or CFA.\n- Tech-savvy individuals looking to pivot into finance, provided they bring a high degree of comfort with technology.",
"highlights_html": "<p><b>Programme Curriculum</b></p><p><b>Module 01: </b><b>Finance in the Age of AI</b></p><ul><li>AI, Machine Learning, GenAI, and automation: what each one does</li><li>Where AI is being used in finance today</li><li>GenAI platforms, Excel, Power BI, Python, Google Colab, and no-code platforms</li><li>Short demonstrations of AI-enabled finance work</li></ul><p><b>Module 02: Financial Data & AI Foundations</b></p><ul><li>Accounting, market, transaction, customer, and textual data</li><li>Data quality, missing values, outliers, bias, and leakage</li><li>Basic machine learning concepts - without heavy mathematics</li><li>Reading and interpreting model outputs in a finance context</li></ul><p><b>Module 03: Generative AI for Financial Work</b></p><ul><li>How large language models and Generative AI work</li><li>Prompting for financial analysis, explanation, and decision support</li><li>Annual reports, earnings calls, analyst reports, and board papers</li><li>Build the idea of a finance knowledge assistant</li><li>Hallucination, confidentiality, false confidence, and verification</li></ul><p><b>Module 04: AI in the CFO Office</b></p><ul><li>AI in FP&A, budgeting, and forecasting</li><li>AI-assisted management reporting and dashboard commentary</li><li>Scenario analysis, sensitivity analysis, and planning support </li><li>Working capital, cost, revenue, and margin analytics </li><li>Designing an AI-enabled finance workflow</li></ul><p><b>Module 05: AI in Banking, Lending, Payments & FinTech</b></p><ul><li>AI in banking and financial services</li><li>Digital lending, credit scoring, underwriting, and collections</li><li>Payments, open banking, embedded finance, and platform models</li><li>Wealth-tech, insurtech, regtech, and personalized finance</li><li>How AI creates scale, speed, and competitive advantage</li><li>Fintech Teardown: Analyze how one fintech embeds AI in its business model.</li><li>Credit Scenario: Walk through an AI-assisted credit-scoring decision.</li></ul><p><b>Module 06: AI in Risk, Audit, Fraud Detection & Compliance</b></p><ul><li>AI for risk assessment and audit analytics</li><li>Fraud detection and anomaly identification</li><li>Credit risk, operational risk, and compliance use cases</li><li>Continuous monitoring and internal control applications</li><li>Explainability, documentation, and accountability</li><li>Anomaly Hunt: Use AI to flag anomalies in a transaction dataset.</li><li>Control Check: Design an AI-assisted continuous-monitoring control.</li></ul><p><b>Module 07: Digital Finance Architecture & Emerging Technologies</b></p><ul><li>APIs, cloud, and data platforms</li><li>Cybersecurity and operational resilience in digital finance</li><li>Blockchain, smart contracts, CBDCs, and tokenization</li><li>Architecture Map: Sketch the digital-finance stack for a use case of your choice.</li><li>Emerging-Tech Brief: Evaluate one emerging technology s relevance to your organization.</li></ul><p><b>Module 08: Responsible AI, Strategy & Capstone</b></p><p><ul><li>AI governance and model risk management</li><li>Bias, fairness, explainability, privacy, and human oversight</li><li>Prioritizing AI use cases in finance</li><li>Design an AI-enabled use case in finance, banking, risk, audit, or fintech covering the business problem, data</li><li>requirements, workflow, tools, expected benefits, key risks, governance controls, and implementation roadmap.</li></ul></p>",
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"description_text": "Backed and built by leaders who are pioneers in Digital Finance: Designed alongside practitioners who turn complex financial ideas into products, platforms, and decisions that actually work.\n\nFrom the house of Imarticus Learning, India's proven launchpad for finance careers: ISFB is built on over a decade of experience designing postgraduate finance careers across banking, analytics, risk, consulting, and financial technology.\n- 50,000 Alumni Placed across global finance, banking, and consulting firms\n- 1 in 5 Investment Banking Professionals in India is an Imarticus Learning alumnus\n- 4,000 Alumni Working across Big 4 and global consulting firms\n- 1,000 Hiring Partners across banks, NBFCs, fintechs, and consulting firms\n\nA program where fintech ideas are Built, Tested, & Validated: Build 4 Fintech Products End to End\n- Build 4 full-stack Tech enabled Finance products\n- Master 8 Core Systems That Power Modern Finance\n- Show What You've Built, not what you've studied.\n\nLearn with Founders & CXOs of Top Fintech Companies\n- Co-Create Products directly with the Industry: Every fintech product is officially co-created with Leading Global Fintech Companies from PayTm & PhonePe to Paypal.\n\nPowered by 25 Cr Venture Fund for Student Founders\n- Built with a - 25 Cr Fund, Evaluated by a Real Venture Capital\n- Learn How Tech enabled Modern Finance Capital actually thinks and commits\n\nExecutive Alumni Status from IIM Visakhapatnam\n- Build AI in Finance Leadership skills through 125+ Hours of IIM-Led Learning\n\nBuild What The World Actually Uses\n- Every product you build here mirrors the real world.\n- One industry mentor, four coaches, and a team of founders, creating live finance products with you from scratch.\n\nWeekend Learning Format: Classes are conducted exclusively on weekends, allowing working professionals to pursue the program without disrupting their weekday work commitments.",
"eligibility_html": "<p><b>This program is for you if you are:</b></p><p></p><ul><li>working professionals with 3+ years of work experience</li><li>Career switchers into modern finance</li><li>Professionals choosing an AI-First Executive Program</li></ul><p></p>",
"eligibility_text": "This program is for you if you are:\n- working professionals with 3+ years of work experience\n- Career switchers into modern finance\n- Professionals choosing an AI-First Executive Program",
"highlights_html": "<p></p><p><b>Your Journey from a Learner to a Professional</b></p><ul><li><b>Phase 0 - Self-Learning (Preparatory): </b>A self-paced online foundation designed to strengthen your quantitative, financial, and analytical skills before the program begins.</li><li><b>Phase 1 - Foundations: </b>Develop a strong foundation in finance, AI, statistics, and technology through industry-relevant coursework that prepares you for advanced applications.</li><li><b>Phase 2 - Core Project Sprints: </b>Work in startup-style teams to build, test, and launch real-world finance and AI products through immersive, eight-month project sprints.</li><li><b>Phase 3 - IIM Visakhapatnam Integrated Module: </b>Complete an integrated leadership module with IIM Visakhapatnam and earn an Executive Certification along with Executive Alumni Status.</li><li><b>Phase 4 - Professional Edge & Career Mastery: </b>Develop the professional skills employers value through career coaching, communication training, and entrepreneurial development.</li></ul><p></p>",
"highlights_text": "Your Journey from a Learner to a Professional\n- Phase 0 - Self-Learning (Preparatory): A self-paced online foundation designed to strengthen your quantitative, financial, and analytical skills before the program begins.\n- Phase 1 - Foundations: Develop a strong foundation in finance, AI, statistics, and technology through industry-relevant coursework that prepares you for advanced applications.\n- Phase 2 - Core Project Sprints: Work in startup-style teams to build, test, and launch real-world finance and AI products through immersive, eight-month project sprints.\n- Phase 3 - IIM Visakhapatnam Integrated Module: Complete an integrated leadership module with IIM Visakhapatnam and earn an Executive Certification along with Executive Alumni Status.\n- Phase 4 - Professional Edge & Career Mastery: Develop the professional skills employers value through career coaching, communication training, and entrepreneurial development.",
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