Offered by Shailesh J. Mehta School of Management, IIT Bombay

AI cannot deliver value in isolation. For AI to work at scale, organizations need the right digital foundations: data, systems, integration layers, infrastructure, and security. This module helps participants understand the broader technology context within which AI initiatives succeed or fail. It introduces the enterprise technology stack and explains how AI, IoT, cloud, and data come together in modern digital transformation.

This module provides a structured and holistic understanding of AI. It moves from the foundations of intelligence and problem solving to classical AI, machine learning, deep learning, Generative AI, and Agentic AI. A distinctive feature of this module is its emphasis on understanding the differences between AI paradigms, when each is appropriate, and how they can be combined in practice.

Beyond conceptual understanding, leaders and practitioners need familiarity with the rapidly evolving ecosystem of AI tools, frameworks, platforms, and implementation approaches. This module focuses on practical enablement: improving personal productivity, reimagining application development, integrating AI into existing solutions, and understanding how tools and platforms support enterprise AI initiatives.

This module translates technical understanding into business strategy and organisational action. Learners explore how to lead AI-first transformation, build scalable capabilities, and create differentiated business models in the AI era. The module also covers rapid prototyping, build-vs-buy decisions, responsible AI adoption, and the change-management practices required to make AI initiatives stick across the organisation.

This module brings the program to life through real-world business cases on AI adoption, transformation, innovation, and strategic execution. It helps participants examine how organizations across sectors have approached AI, what strategies and roadmaps they followed, what outcomes they achieved, what challenges they faced, and why some initiatives succeeded while others struggled. The module is designed to connect leadership frameworks with actual implementation journeys and business results.

The capstone project is the culminating component of the program. It is designed to help participants apply the concepts, frameworks, tools, and leadership perspectives covered across the earlier modules to a real organizational problem or opportunity. Participants will identify a business challenge, evaluate how AI can create value, choose an appropriate AI approach, and develop a practical implementation roadmap. The capstone extends the program’s focus on AIready organizations, AI use-cases, tools and platforms, build-vs-buy decisions, governance, and business transformation.