Executive Education Program
Agentic AI Strategy for Enterprises
Course Description
This ExEd program is designed to help professionals, managers, entrepreneurs, and organizational leaders understand how the next generation of AI systems is transforming enterprise strategy, decision-making, and operations. The program introduces participants to the emerging world of Agentic AI - intelligent systems capable of reasoning, planning, collaborating, and autonomously executing tasks across business environments. Combining conceptual foundations with hands-on learning, the course explores how AI can support strategic thinking, operational excellence, workflow automation, and enterprise innovation while complementing human judgment rather than replacing it. Participants will gain exposure to modern AI tools, copilots, and leading agent frameworks such as CrewAI, LangGraph, AutoGen, and n8n through practical labs, simulations, and enterprise-focused case studies. The program also covers multi-agent workflows, enterprise implementation planning, AI readiness assessment, and organizational adoption strategies. In addition, participants will critically examine the ethical, societal, and regulatory implications of Agentic AI to enable responsible and sustainable adoption. Designed with a strong industry orientation, the program is relevant for leaders and professionals across sectors seeking to understand how Agentic AI can create long-term strategic and operational value in the evolving digital economy.
Modules
Module 1: Introduction to AI
- Evolution of AI
- ML, DL, Gen AI, Agents
- Understanding Your Industry Problems
- Introduction to Tools and Prompting
Module 2: AI-Assisted Decision Making
- AI as a strategic thinking partner
- Scenario planning using AI
- Prompt engineering for strategic leadership
- GenAI Lab
Module 3: AI for Operational Excellence (2 hours)
- AI copilots for business analytics
- Workflow intelligence and operational optimization
- Human-in-the-loop operational decision systems
- Group Activity
Module 4: Building Your First Agent
- Key Agent Frameworks (CrewAI, Groclake, LangGraph, AutoGen, etc.)
- Orchestrating Workflows with n8n
- Enterprise-ready Agentic Systems
- Case Study: Using Autonomous AI Agents in IT Ops
Module 5: Advanced Agent Design
- Designing Multi-agent Teams (e.g., SDR agent → Research agent → Outreach agent)
- Training RL Agents for Continuous Optimization
- Mapping Multi-agent Workflows for Your Business
- Group Activity/Invited speaker
Module 6: Building Your AI Implementation Plan
- AI Readiness Assessment – where does your business stand?
- Vendor and Ecosystem Strategy (Available Tools)
- Creating an AI Pilot Roadmap for Your Business
- Group activity
Module 7: Risks/Ethics of Agentic AI
- Risk to Jobs, Society, Bad Actors
- Regulatory Approaches, Ethical Implications, Dilemmas
- Agentic AI and Public Policy
- Invited Speaker
