S. P. Jain Institute of Management & Research (SPJIMR)

The programme begins by establishing the broader strategic context within which AI operates. This module builds a foundational lens for understanding how waves of technological change, including AI, reshape industries, disrupt competitive positions, and drive business model reinvention. By examining how data has evolved into a core strategic asset, and how organisations are transitioning from digitised processes to intelligent enterprises, learners develop the strategic vocabulary and conceptual framework that will underpin all subsequent modules.

This module builds on the strategic context established in the previous module and introduces Artificial Intelligence from an executive perspective, focusing on its role in enhancing and augmenting business decision-making. Learners will build managerial literacy in AI, understand its positioning within the analytics maturity spectrum, and learn how to identify high-impact enterprise AI opportunities.

This module focuses on the foundations that make AI possible, including enterprise data ecosystems, cloud technologies, and analytical thinking, recognising that AI is only as effective as the data and infrastructure that support it. Learners develop an intuitive understanding of how data architecture, governance, and data visualisation enable better decision-making. The module also focuses on building data fluency and statistical thinking required to interpret analytical outputs with confidence.

This module explores how Machine Learning can be applied across business functions to drive competitive advantage. Learners will learn to interpret key ML use cases, understand model outputs, and evaluate their impact across finance, marketing, and operations. The module also develops awareness of model limitations and bias, helping learners critically evaluate ML-based initiatives and recommendations.

This module focuses on the transformative role of Generative AI in enhancing productivity and automating knowledge work. Learners will explore how Large Language Models and multimodal systems are reshaping workflows and enabling new forms of human-AI collaboration.

This module introduces Agentic AI and its ability to autonomously plan, reason, and execute tasks. Learners will understand how such systems can be deployed in complex enterprise workflows, along with their associated risks and governance considerations. This module also equips professionals to critically evaluate Agentic AI systems by understanding appropriate use cases, building effective checkpoints, and managing accountability for autonomous AI systems.

This module moves from understanding AI capabilities to leading AI initiatives effectively. It bridges technology and leadership, equipping learners with the skills to formulate AI strategy, manage an AI portfolio with clear prioritisation and ROI discipline, and build the organisational capability needed to sustain AI-led transformation. It addresses the people, process, and change management dimensions critical to ensure that AI investments deliver real business value.

This module addresses the ethical, regulatory, and risk management aspects of large-scale AI adoption, thereby helping learners make nuanced judgements about AI risk and potential mitigation strategies. It emphasises responsible AI practices, governance frameworks, and the importance of explainability and compliance in enterprise environments.

This module enables learners to choose a domain from among the top industry-specific tracks and apply AI concepts within their selected domain, such as Finance, Marketing, or Manufacturing and Supply Chain. Each track is designed to deliver tailored, AI-driven business impact, allowing learners to explore domain-relevant use cases, frameworks, and decision-making approaches.

The Capstone Project provides learners with an opportunity to apply their learning to a real-world business problem within their chosen domain. Learners will identify a relevant use case, design an AI-driven solution leveraging appropriate tools and frameworks, and present their approach and outcomes. This ensures a strong focus on practical application, strategic thinking, and business impact.