No-Code AI Programme for Business Growth & Strategy | SPJIMR

This module builds a shared vocabulary and practical intuition for AI and GenAI. Grounded in the AI value creators concept of moving from plus AI (AI as a feature) to AI plus (AI as the operating model), learners develop managerial literacy, decision confidence, and the ability to scope early opportunities without technical jargon. The module introduces core GenAI concepts, demonstrates everyday business applications, and establishes a common language across leadership cohorts.

This module develops capability in customisation and automation-oriented GenAI. Moving from retrieval-based systems into agentic workflows, learners develop the expertise to design systems that take action, not just generate text. The emphasis is on reliability, evaluation, permissions, and safe autonomy. By combining embeddings, RAG, fine-tuning, and agent design, learners understand how organisations build enterprise-grade AI systems that go beyond response generation to handling complex, multi-step business processes..

This module connects business value to technical feasibility. Alternating between strategic framing and system-level understanding, learners evaluate build-versus-buy decisions, estimate ROI, and understand the architectural components that make enterprise Generative AI reliable and scalable. Learners apply frameworks for competitive advantage, cost management, execution readiness, and production monitoring across the full lifecycle of a GenAI initiative.

This module translates GenAI capabilities into domain-specific adoption across marketing, finance, operations, and human resources. Grounded in India's regulatory and infrastructure context, learners design use cases that create measurable value, manage risk, and scale responsibly. The module closes with a governance capstone that integrates responsible AI into an enterprise operating model, covering fairness, explainability, privacy, safety, and accountability frameworks.