Programme Content
Module 0 - Business Fundamentals for the AI Age
Overview of Business Functions: Finance, Marketing, Operations, HR, Systems
Key Business Metrics and Decision-Making Frameworks
Business Models
Module 1 - Navigating the AI Landscape
Evolution and Trends in the AI Ecosystem
AI Technology Stack and Tooling
Regulatory and Global Policy Landscape
AI Investment and Talent Landscape
Module 2 - Building High-Quality Data for AI Success
Data Sourcing and Understanding
Data Cleaning and Preprocessing
Feature Engineering and Selection
Data Visualisation – Traditional and Gen AI
Module 3 - Applied Machine Learning for Business Leaders
Introduction to Machine Learning
Supervised Learning – Classification and Regression
Unsupervised Learning – Clustering, and Pattern Discovery
ML Workflow and Tooling
Module 4 - Language AI: From Sentiment to Strategy
Introduction to NLP and Text Data
Text Preprocessing and Feature Extraction
Text Classification and Analysis
Topic Modeling
Sentiment and Emotion Analysis
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Module 5 - Transforming Marketing With AI & GenAI
Customer Segmentation and Targeting
Personalisation and Recommendation Engines
Predictive Analytics for Campaign Optimisation
Media Mix Model
Market Basket Analysis
Customer Lifetime Value & Cohort Analytics
Google Analytics
Social Listening
Network Analytics
Creative AI
Case Studies
Module 6 - Financial Foresight With AI Tools
Predictive Analytics for Credit Scoring and Risk Assessment
Fraud Detection and Anomaly Detection
AI in Portfolio and Wealth Management
Case Studies: AI in Banking and Insurance
Module 7 - Operational Excellence Through AI & Automation
AI in Demand Forecasting and Inventory Optimisation
AI in Logistics and Route Optimisation
Predictive Maintenance and Quality Control
Process Mining and Operational Efficiency
Supplier and Procurement Analytics
Case Studies
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Module 8 - AI-Powered Workforce Strategy & Talent Analytics
AI for Learning, Development, and Career Pathing
Performance Management and Predictive HR Analytics
Employee Engagement and Sentiment Analysis
Case Studies
Module 9 - From Pilot to Production: AI at Scale
Model Deployment: Cloud, On-Premise, and Hybrid Approaches
Integrating AI Into Business Workflows
Monitoring and Maintaining AI Systems
Module 10 - Building Ethical, Transparent AI Systems
Regulatory Landscape in Finance and Marketing AI
Bias, Fairness, and Explainability in AI Models
Building Trust and Transparency
Module 11 - Future of AI: GenAI, Edge & Agentic Systems
Generative AI and Foundation Models
Multi-Modal and Agentic AI
Trends in Edge AI and On-Device Intelligence
AI + Industry 5.0 / Business Model Shifts
Module 12 - PCP in AI-Powered Decision-Making Business Simulation
End-to-End AI Solution for a Business Problem
Project Presentation and Feedback From IIM Faculty
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Indian Institute of Management Kozhikode Globalizing Indian Thought
