Agentic AI & LLMs for Strategic Impact

About the Program 

The recent advances in Generative AI and Large Language Models (LLMs) have opened a new frontier in enterprise automation and decision-making. Moving beyond simple chat interfaces, Agentic AI, where LLMs act as autonomous agents with memory, tool use, and planning capabilities, is transforming how businesses operate, strategize, and engage customers. This 5-day online Management Development Program (MDP) is designed to equip professionals with the conceptual clarity and hands-on skills needed to harness the strategic impact of Agentic AI and LLMs. Through real-world case demonstrations, prompt engineering exercises, and live walkthroughs of tools like Copilot Studio, LangChain and AutoGPT, participants will learn how to design, evaluate, and deploy intelligent agents that augment decision-making and automate complex workflows across functions such as marketing, supply chain, retail, and executive strategy. This initiative helps to develop autonomous AI agents for solving complex business problems across both code-based and no-code platforms, empowering users with diverse technical backgrounds to design, deploy, and scale intelligent business solutions efficiently.

Pedagogy:

  1. The program adopts an experiential and application-oriented pedagogy, combining: Live demonstrations of GenAI tools, agents, and LLM interfaces (e.g., ChatGPT, Gemini, LangChain, AutoGPT, Copilot, Copilot Studio, Claude).
  2. Prompt engineering exercises and hands-on walkthroughs for business-relevant use cases
  3. Mini case discussions illustrating successful enterprise deployments of Agentic AI
  4. Scenario-based group interactions, exploring decision-making, automation workflows, and risk mitigation.
  5. Tool-stack deep dives, helping participants evaluate integration options for their context.

  • The program aims to enable participants to:

    1. Understand the evolution and capabilities of generative AI, LLMs and agentic AI models, from GPT‑4o to GPT‑5.5, Gemini, Claude, Copilot, Copilot Studio and multimodal LLMs.
    2. Design autonomous AI agents and multi-agent systems.
    3. Differentiate between traditional LLM use and autonomous agents, exploring agent architectures, memory, tool invocation, and self-reflection loops.
    4. Develop effective prompt engineering strategies for zero-shot, few-shot, and chain-of-thought interactions tailored to enterprise needs.
    5. Design LLM-powered agents for real-world use cases in marketing, operations, retail, and executive decision support.
    6. Evaluate enterprise AI stacks like Copilot Studio, LangChain, LangGraph, CrewAI and AutoGPT for building autonomous workflows and integrating with business systems.
    7. Apply Retrieval-Augmented Generation (RAG) and vector database solutions to build organization-specific AI knowledge systems.
    8. Assess governance, compliance, and ethical challenges in deploying autonomous Agentic AI systems in enterprise environments.

From GPT to Agents: The GenAI Revolution Unpacked

Prompt Engineering for LLM-driven Agents

Agentic Architectures & Autonomous Workflows

Multimodal Agentic AI: Beyond Text

Agentic AI for Marketing & Customer Experience

AI Agents in Operations: Automating the Enterprise Engine

Agentic AI in Supply Chain – Enhancing Visibility & Decision-Making

This program is designed for:

  1. Mid- to senior-level professionals from strategy, operations, marketing, analytics, and innovation teams.
  2. CXOs and business leaders seeking to understand the strategic potential of GenAI and autonomous agents.
  3. Consultants and entrepreneurs working on AI/LLM-driven solutions across sectors.

  1. Registration fees include the following:

    For all the participants:

    • Online sessions
    • Online study material
    • Certificate for course completion

Registration Terms & Conditions:

A. Upon payment of program fees registrations are tentatively confirmed. The final confirmation on the commencement of the program shall be communicated latest 2 weeks before (offline program) & 1 week before (online program) for the scheduled start date of the program.
B. Refund policy
Fees once paid can be adjusted up to 1 financial year against future nominations only. In case a course is canceled on account of inadequate participation or any other unforeseeable reasons, the participants will be informed of the cancellation by e-mail or Fax and the fee will be refunded. IIM Mumbai will not be liable for any other expenses incurred by the company or the participant. Any transaction fee will not be refunded.

C. IIM Mumbai is not responsible for any other expenses borne by the participants due to rescheduling/cancellation of its MDPs

D. Registration deadline: Registrations for online MDPs close 1 week prior to start of program

2. Individual Registration

If you wish to register & make payment, please click here Register

3. Company-sponsored / Bulk Registration:

    • In the case of company-sponsored candidates, please share the nomination list and GST details to program@iimmumbai.ac.in for invoice generation.

      Download the INVOICE DETAILS FORM

    • Note: Discount is applicable for 5 or more participants from same organization against invoice.

Course Details

Mode Online / Virtual
Duration 30Hrs.
Programme Dates Feb 20, 2027 to Mar 06, 2027 Online session timing: 10.00 AM – 1.00 PM & 2.00 PM – 5.00 PM (Weekend)
Program Coordinators Prof. Puja Sarkar, Prof. Debabrata Das

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