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.
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
· AI & ML Engineers
· Data Scientists & AI Enthusiasts
· Developers & Software Engineers
· Entrepreneurs & Product Managers
· Business Leaders Exploring AI Automation
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
Members | Rs. 12,500 + 18% GST |
Non-Members | Rs. 15,000 + 18% GST |
Bank Details for NEFT | |
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Account No. | 10996680930 |
IFSC CODE | SBIN0000300 |
Bank Name | State Bank of India |
Branch Address | Mumbai Main Branch |
Cheque /Demand Draft should be drawn in favor of “BOMBAY CHAMBER OF COMMERCE AND INDUSTRY”
Kindly mail your registration (Name, Cell no, Email Id and GST No) on revati.khare@bombaychamber.com
Revati Khare || DEPUTY DIRECTOR
Email : revati.khare@bombaychamber.com
Mobile No : 9892029473
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Event or Seminar - Workshop