Programme Content
Programme Modules - by IIM Kozhikode
Pillar 1: AI Fundamentals: Understanding Core Concepts and Driving AI Adoption
Module 1: Foundations of Modern AI
AI In Everyday Applications
Evolution of AI: Key Milestones
Machine Learning: A Deep Dive
Understanding Deep Learning
The Power of GenAI
The AI Spectrum: Understanding AI in Context
Module 2: Navigating AI Transformation in Organisations
Leading the AI Transformation Revolution
The Three Phases of AI Maturity
Getting Started with AI
Building-Momentum Phase
Embedding AI into Organizational DNA
Module 3: Strategic Framework for AI Success
Seven Pillars for AI Success: Introduction
Linking AI with Business Strategy
Defining AI Objectives
Scaling AI Adoption
Data: AI's Foundation
Driving AI Development
Building AI Processes
AI Talent and Teams
The Seven Pillars: A Reflection
Module 4: The AI Playbook: Strategy, Maturity, and Transformation
AI Playbook and Maturity Framework: The Essentials
Practical Application of the AI Playbook
Tailoring the Playbook to AI Maturity Level
The AI Maturity Assessment
AI Transformation: Leveraging the Playbook Framework Challenges in AI-led Transformation
Strategic Insights for AI Implementation
Note: Modules topics are indicative only, and the suggested time and sequence may be dropped modified adapted to fit the total programme hours.
Programme Modules - by IIM Kozhikode
Module 5: Evolution of Generative AI
The Evolution of Generative AI
Generative AI in Action
Overcoming Challenges in Generative AI
The Transformative Future of Generative AI
Module 6: Customer-Centric AI Applications
Generative AI: Driving Future Productivity
NLP and Leadership Communication
Transforming Customer Service with AI
Human-AI Collaboration in Customer Service
Module 7: Advanced AI Implementation
Mastering AI: The Art of Effective Prompting
The PROMPTER Framework: Crafting AI Prompts for Precision
Building Strong AI Prompts: Prequel, Requirements and Objective Personalising AI Prompts: Me, Persona and Task
Refining AI Outputs: Example and Reporting Format Tailoring LLMs with Prompt Engineering
Retrieval-Augmented Generations (RAG): Keeping AI Knowledge Up To Date Maximizing AI Potential: Combining Prompt Engineering and RAG Fine-Tuning AI: Teaching Models to Think like Experts Pre-Training AI: When to Build Model from Scratch Unlocking AI's Full Potential: Strategies for Effective Customisation
Module 8: Classical AI Solutions for Marketing
Classic AI vs GenAI in Marketing
Customer Segmentation and Targeting with AI
AI in Campaign Optimisation
AI in Marketing Analytics and Attribution
AI in Pricing and Promotion Strategies
AI-Driven Product Recommendations
Summary: Classic AI's Role in Marketing
Note: Modules topics are indicative only, and the suggested time and sequence may be dropped modified adapted to fit the total programme hours.
Programme Modules - by IIM Kozhikode
Module 9: Marketing in the Age of GenAI
Gen AI in Content Creation
Gen AI for Personalisation at Scale
Gen AI in Customer Interaction and Support
Gen AI in Market Research and Analytics
Gen AI in Multilingual and Localisation Capabilities The Future of Gen AI in Marketing
Module 10: Leveraging AI in Financial Operations
AI for Finance and Risk Management: Introduction
Enhancing Financial Planning and Analytics
Optimising Financial Operations
Innovations in Treasury and Investments Management Modernising Financial Control and Reporting
Data-Driven Corporate Strategy
Transforming Investor Relations
Module 11: AI-Driven Risk Management
Transforming Risk Management with AI Redefining Credit Risk Strategies
Navigating Market Risk in RealTime
Proactive Strategies for Operational Risk Managing Compliance in a Complex World Strengthening Cybersecurity Resilience AI in Risk Management: Key Takeaways
Module 12: Traditional AI solutions for Supply Chain
Revolutionising Supply Chain Management Transforming Demand Forecasting with AI AI in Inventory Optimisation AI-Powered Supply Chain Optimisation AI-Driven Production Planning and Scheduling AI-Driven Risk Management and Resilience
Note: Modules topics are indicative only, and the suggested time and sequence may be dropped modified adapted to fit the total programme hours.
Programme Modules - by IIM Kozhikode
Module 13: GenAI-Powered Supply Chain Management
Generative AI in Supply Chain Documentation
Generative AI in Supplier Communication
Generative AI in Customer Communication
Generative AI in Procurement
Generative AI in Supply Chain Analytics
Module 14: Industry-Specific Supply Chain AI
AI in Manufacturing Supply Chains
AIs Role in Retail Supply Chains
AI: The Lifeline of Healthcare Supply Chains
AI in Automotive Supply Chains
AI in Consumer Goods Supply Chains
AI's Role in Electronics Supply Chains
AI's Role in Transforming Supply Chains
Module 15: Leveraging AI in RD
AI in Research and Design: Introduction
AI in Design
AI in Research
Challenges and Limitations of AI in Design and Research The Future of AI in Design and Research
Module 16: AI Across Domains: HR, Legal, and Beyond
Introduction to AI in HR, Legal, and Other Domains
AI in HR
AI in Legal
AI in Other Specialised Domains
Challenges and Considerations
The Future of AI in HR, Legal, and Other Domains
Module 17: AI-Driven Business Models: Past, Present, and Future
Introduction to AI-Driven Business Models
Established AI-Driven Business Models
Emerging and Future Business Models
The Road Ahead
Note: Modules topics are indicative only, and the suggested time and sequence may be dropped modified adapted to fit the total programme hours.
Programme Modules - by IIM Kozhikode
Module 18: Introduction to Responsible AI
Introduction to Responsible AI
AI Governance
AI Ethics
AI Compliance
Responsible AI: Challenges and Opportunities
Responsible AI Implementation
Future of Responsible AI
Responsible AI: Key Takeaways
Module 19: Future Trends and Opportunities in AI
Future Trends in AI: Introduction
Tracing AIs Evolution: Past to Present
Current and Emerging AI Capabilities
Future Applications: Reimagining Industries Through AI
Misuse of AI
Geopolitical, Economic, and Societal Impact of AI
Future Trends in AI: Conclusion
Programme Modules - by Kellogg Executive Education
Foundations of Al - from Prediction to Creation to Autonomy
Al and Customer Experience Management
Al and Operations Management
Al and Business Support Functions
Al Applications in Selected Industries
Generative Al and Creative Industries - Transforming Media, Art, and Design
Al and Business Transformation - Strategy, Capabilities, and Governances
Al and Society - Ethics, Regulation, and Jobs
