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

This module builds a strong conceptual foundation and shared vocabulary around Artificial Intelligence and Generative AI. Grounded in the AI Value Creators framework, it introduces the shift from “+AI” (AI as a feature) to “AI+” (AI as the operating model). Learners develop managerial literacy in AI, decision-making confidence, and the ability to identify high-value AI opportunities within business functions without requiring technical expertise. The module also introduces core GenAI concepts and demonstrates how AI tools can be applied to everyday business tasks.

This module connects business value with technical feasibility, helping learners understand how organisations evaluate, design, and scale AI initiatives. Learners evaluate build vs buy decisions and explore frameworks for AI strategy, investment decisions, ROI measurement, and competitive advantage through AI adoption. Learners also explore the core technical components that power enterprise-grade AI systems, including embeddings, semantic search, vector databases, and Retrieval-Augmented Generation (RAG). By combining strategic frameworks with system-level understanding, this module helps managers make informed decisions about build vs buy approaches, implementation strategy, and enterprise scalability.

This module develops deeper capability in customisation, automation, and advanced Generative AI system design. Moving beyond basic AI applications, learners explore how modern AI systems are designed to retrieve knowledge, perform multi-step reasoning, and interact with tools to complete complex tasks rather than simply generate responses. The module introduces fine-tuning strategies, small language models, and agentic workflows, enabling learners to understand how organisations build AI systems that go beyond generating responses to taking actions within business processes. The focus is on reliability, evaluation frameworks, safe autonomy, and production readiness.

This module focuses on domain-specific adoption of AI capabilities through real-world business applications across functions such as marketing, finance, operations, and human resources. Learners explore how organisations use AI to drive productivity, insights, experimentation, and decision support across different business domains. The module also examines AI adoption within India’s regulatory, infrastructure, and policy ecosystem, covering topics such as India Stack, the DPDP Act, and AI governance frameworks. Learners design use cases that create measurable value, manage risk, and scale responsibly. The module concludes with a governance capstone that integrates responsible AI into an enterprise operating model.