Programme Content
Flow of modules: Digital foundations → AI foundations → Tools → Leadership Strategies → Business Use-cases and Case Studies→ Capstone Project Each session is approximately 3 hours of classroom live teaching and engagement with faculty. Total around 50 hours overall. 16 live sessions and 8-10 hours of final project presentations. There are extra Q&A sessions too. Module 1: Digital Foundations for AI-Ready Organizations, No. of Sessions: 2 Objective To help participants understand the digital building blocks required to make organizations AI-ready, and to appreciate how AI must be integrated with enterprise systems, workflows, data, and security architecture. Session 1: The Digital Enterprise Context for AI Session 2: Integration, Automation and Security Foundations Module 2: The AI Spectrum — From Classical AI to Agentic AI, No. of Sessions: 4 Objective To help participants build a strong conceptual foundation in AI and understand the practical differences, complementarities, and use-cases of classical AI, machine learning, Generative AI, and Agentic AI. Session 1: Understanding AI, Intelligence and Problem Solving Session 2: Generic problems and applications, core AI/ML techniques/algorithms Session 3: Deep Learning and Generative AI Session 4: Agentic AI and Combining AI Approaches Module 3: Tools, Platforms and Practical AI Enablement, No. of Sessions: 3 Objective To help participants understand the AI tool landscape and evaluate how tools, platforms, and development approaches can be used to enhance productivity, accelerate innovation, and implement AI-enabled solutions. Session 1: AI Tools, Prompting and Productivity Session 2: Platforms, App Development and Enterprise Integration Session 3: Developing Agentic AI Module 4: AI Strategy, Leadership and Transformation, No. of Sessions: 3 Objective To equip participants with the strategic, organizational, and leadership perspectives needed to identify, prioritize, implement, govern, and scale AI initiatives in real business settings. Session 1: Identifying AI Opportunities and Designing Strategy Session 2: Leading AI-Driven Organizational Change Session 3: Scaling AI — Business Models, Build-vs-Buy and Execution Module 5: Business Case Studies and Use-cases on AI, No. of Sessions: 4 Objective To help participants understand how organizations across the world are leveraging AI in practice, including the strategic choices they made, the implementation pathways they followed, the value they realized, the risks and barriers they encountered, and the lessons leaders can draw for their own organizations. Module 6: Capstone Project — AI Leadership in Action, Presentations: No. of Sessions: 2 Objective To enable participants to synthesize learning from the program and translate it into a practical AI initiative, transformation proposal, or solution blueprint relevant to their organization, industry, or chosen domain.
