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- ID:
2927 - URL:
https://www.iimjobs.com/course/IIM-Lucknow-%7C-Executive-Programme-In-Artificial-Intelligence-For-Business-2927
{
"id": 2927,
"title": "IIM Lucknow | Executive Programme In Artificial Intelligence For Business",
"link": "https://www.iimjobs.com/course/IIM-Lucknow-%7C-Executive-Programme-In-Artificial-Intelligence-For-Business-2927",
"institute": "IIM Lucknow",
"accreditation": "IIM Lucknow",
"tagline": "New age Exemplar for AI Business Applications",
"fee": {
"text": "INR 3,18,300+ GST",
"min": 318300,
"max": 318300,
"currency": "INR",
"is_gst_extra": true
},
"duration": "9 Months",
"duration_months": 9,
"delivery_method": "Online",
"work_experience": {
"min_years": 5,
"max_years": 30
},
"locations": [
"Anywhere"
],
"categories": [
{
"id": 13,
"name": "Banking & Finance"
},
{
"id": 14,
"name": "Sales & Marketing"
},
{
"id": 16,
"name": "Consulting"
},
{
"id": 17,
"name": "HR & IR"
},
{
"id": 15,
"name": "IT & Systems"
}
],
"skills": [
{
"id": 244,
"name": "Marketing",
"link": "https://www.iimjobs.com/k/marketing-jobs"
},
{
"id": 155,
"name": "Sales",
"link": "https://www.iimjobs.com/k/sales-jobs"
},
{
"id": 157,
"name": "Corporate Finance",
"link": "https://www.iimjobs.com/k/corporate-finance-jobs"
},
{
"id": 362,
"name": "Finance and Accounts",
"link": "https://www.iimjobs.com/k/finance-and-accounts-jobs"
},
{
"id": 27,
"name": "Public Relations",
"link": "https://www.iimjobs.com/k/public-relations-jobs"
},
{
"id": 456,
"name": "IT Compliance",
"link": "https://www.iimjobs.com/k/it-compliance-jobs"
},
{
"id": 57,
"name": "Consumer Internet",
"link": "https://www.iimjobs.com/k/consumer-internet-jobs"
},
{
"id": 112,
"name": "Project Management",
"link": "https://www.iimjobs.com/k/project-management-jobs"
},
{
"id": 1732,
"name": "Machine Learning",
"link": "https://www.iimjobs.com/k/machine-learning-jobs"
},
{
"id": 1964,
"name": "Artificial Intelligence",
"link": "https://www.iimjobs.com/k/artificial-intelligence-jobs"
},
{
"id": 202,
"name": "Advertising",
"link": "https://www.iimjobs.com/k/advertising-jobs"
}
],
"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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"image": "https://edgar.iimjobs.com/media/courseimage/2026/09/11/2026-09-11-10:12:04-62744-908693.webp",
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"partner_link": null,
"is_premium": true,
"views": 119,
"updated_at": "2026-09-24T00:27:32Z"
}