Agentic AI Certification Course

Course Overview:

The Agentic AI Course is designed to provide an in-depth understanding of autonomous AI agents, their architecture, and real-world applications. Participants will learn how to build AI agents that can autonomously make decisions, execute tasks, and adapt to dynamic environments. The course covers multi-agent systems, reinforcement learning, cognitive AI, LLM-powered agents, and real-world deployment strategies.

Contents:

Module 1: Introduction to Agentic AI

· What is Agentic AI? Understanding AI agents vs. traditional AI models

· Applications of autonomous AI agents in different industries

· Agentic AI vs. Generative AI: Key differences and use cases

· Ethical and safety considerations for autonomous AI

Module 2: Fundamentals of AI Agents

· Types of AI Agents : Reactive Agents, Planning Agents, Learning Agents

· Agent Architectures : Perception, Action, Decision-Making

· State Representation & Memory : Short-term vs. Long-term memory for agents

· Goal-Driven & Task-Oriented AI Agents

Module 3: Building Autonomous AI Agents

· Creating AI Agents using LLMs (GPT, Claude, Gemini, etc.)

· Fine-tuning AI Agents for specific tasks

· Prompt Engineering & Chain-of-Thought Reasoning for AI Agents

· Hands-on: Developing an AI assistant that automates tasks

Module 4: Multi-Agent Systems (MAS)

· Understanding Multi-Agent Environments (Cooperative vs. Competitive Agents)

· Communication between AI Agents : LLM-based message passing

· Multi-Agent Reinforcement Learning (MARL)

· Hands-on: Creating a Multi-Agent Collaboration System

Module 5: Reinforcement Learning for AI Agents

· Deep Reinforcement Learning (DRL) for autonomous decision-making

· Reward Functions & Policy Learning

· Q-Learning, PPO, DDPG & Other RL Techniques

· Hands-on: Training an AI Agent to optimize decision-making

Module 6: Memory, Retrieval & Planning in AI Agents

· Adding Memory to AI Agents : Vector Databases, RAG (Retrieval-Augmented Generation)

· Hierarchical Planning & Task Execution

· Tools for autonomous task prioritization

· Hands-on: Building an AI Agent with a persistent memory system

Module 7: Tool-Using AI Agents & API Integration

· How AI Agents use external APIs, databases, and tools

· LangChain & Auto-GPT frameworks

· Automating business workflows with AI agents

· Hands-on: Creating an AI agent that integrates with third-party APIs

Module 8: Self-Learning & Self-Improving AI Agents

· How AI Agents adapt & improve over time

· Meta-Learning & Self-Evolution Strategies

· Automated Model Fine-Tuning & Optimization

· Hands-on : Developing an AI agent that learns from user feedback

Module 9: AI Agents in Real-World Applications

· Autonomous AI Agents in Business, Healthcare, and Finance

· AI Agents for Personal Productivity (Automating Emails, Scheduling, etc.)

· Building Autonomous Research & Trading Agents

· Hands-on : Deploying an AI agent for real-world automation

Module 10: Deployment & Scaling Agentic AI Systems

· Deploying AI Agents in Cloud & Edge Environments

· Scaling AI Agents for high-performance applications

· Monitoring & Optimizing AI Agent Performance

· Final Project: Building and Deploying a Fully Functional AI Agent

Who Should Attend:

· AI & ML Engineers

· Data Scientists & AI Enthusiasts

· Developers & Software Engineers

· Entrepreneurs & Product Managers

· Business Leaders Exploring AI Automation

Speaker Profile:

Rammohan Thirupasur is a highly accomplished Technology Leader with over 28 years of IT experience, including 17+ years in leadership roles spanning Hybrid Cloud, AI Security and Managed Services across the EMEA and APAC regions. As a former Associate Director at IBM/Kyndryl, he led global teams of 100+ professionals, earning recognition as a top-rated people manager for his ability to inspire, mentor and drive results.

A renowned technology trainer and coach, Rammohan specializes in Gen AI, ISO 42001, DORA, AI GRC, EU AI Act, ICS/OT Security and Hybrid Multi-Cloud, simplifying complex concepts to empower businesses and professionals in adopting cutting-edge innovations. As a keynote speaker and technology blogger, he leverages Design Thinking and Case-Study methodologies to deliver engaging, hands-on training. With expertise in large-scale ERP implementations for Fortune 1000clients, he is a trusted advisor on Gen AI, AI Security and IT Governance (ISO 42001& 27001) makes him a sought-after expert for organizations navigating digital transformation.

Rammohan is a trusted technology advisor for startups worldwide, helping emerging Gen AI companies shape their strategies and scale innovation. As a member of multiple advisory boards, he plays a pivotal role in driving AI adoption and security best practices across industries

Delivery: ZOOM Meeting

Contact Details :

Revati Khare || DEPUTY  DIRECTOR
Email : revati.khare@bombaychamber.com
Mobile No : 9892029473