Agentic AI & LLMs for Strategic Impact

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 3-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

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.

Session

Title

Duration

Key Focus Areas

Session 1

Agentic AI & LLM Fundamentals

1.5 hours

- Understanding generative AI and LLMs

- Evolution of LLMs and their role in agent-based systems

Session 2

Prompt Engineering for LLM-Driven Agents

1.5 hours

- Prompt roles and techniques

- Structuring prompts for business use

- Safe and reusable prompt design

Session 3

Multimodal Agentic AI: Beyond Text

1.5 hours

- Overview of multimodal models

- Applications across formats

- Deployment considerations

Session 4

Agentic Architectures & Autonomous Workflows

1.5 hours

- Key components of agentic systems

- Tool use and memory

- Integration frameworks

Session 5

Agentic GenAI for Marketing & Customer Engagement

1.5 hours

- Creative automation with agents

- Personalization at scale

- Campaign planning and testing

Session 6

Agentic AI in Operations – Automating Efficiency

1.5 hours

- Agent use in operational processes

- Automation of repetitive tasks

- Real-time decision support

Session 7

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

1.5 hours

- Agents in logistics and inventory

- Demand forecasting and alerts

- Coordination across functions

Session 8

LLM Agents for Executive Strategy & Decision Support

1.5 hours

- Scenario analysis and strategic memos

- Executive dashboards

- Risk and governance considerations

The program aims to enable participants to:

Understand the evolution and capabilities of generative and agentic AI models, from GPT‑2 to GPT‑4o, Gemini, Claude, and multimodal LLMs.

Differentiate between traditional LLM use and autonomous agents, exploring agent architectures, memory, tool invocation, and self-reflection loops.

Develop effective prompt engineering strategies for zero-shot, few-shot, and chain-of-thought interactions tailored to enterprise needs.

Design LLM-powered agents for real-world use cases in marketing, operations, retail, and executive decision support.

Evaluate technology stacks like LangChain, LangGraph, and AutoGPT for building autonomous workflows and integrating with business systems.

Assess governance, compliance, and ethical challenges in deploying autonomous GenAI systems in enterprise environments.