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
Hitesh Motwani is a proven digital media expert, AI trainer, and international speaker with expertise in Generative AI tools & process. He specializes in training corporates, professionals, and large to medium-scale organizations, from CXOs to marketing heads, in the field of Generative AI. With over a decade of experience in Marketing, Data Analytics, public relations, corporate communications, and Data Science, Hitesh brings a wealth of knowledge and practical insights to his training programs.
Recently he trained over 200+ CMO’s helping them understand how the marketing landscape is changing with Generative AI tools and ChatGPT, post which many firms have started to incorporate the same within their marketing and product management efforts. His average rating for session was 4.8/5
Hitesh has an impressive track record, having trained over 2,00,000+ participants in countries such as the USA, UK, Singapore, Malaysia, India, UAE, Bangkok, and Africa. He has delivered training sessions in more than 60+ institutions to students and professionals alike. His expertise extends to coaching and mentoring, and he has been a guest lecturer at over 50+ prestigious institutions, including IIM Bangalore, IIM Udaipur, IIM Lucknow, IIM Shillong, IIM Sambalpur, University of London, Institute Marangoni, SDA Bocconi, SP Jain Institute of Global Management, NMIMS, Indo American Society of India, Princeton Academy, and many more.
Furthermore, Hitesh has conducted training programs for over 400+ corporates, including renowned companies such as Times of India, Godrej, Kellogg’s, the Economic Times, Pfizer, Glenmark, Sun Pharma, Ogilvy, Wockhardt Group, Landmark Group, SBI Life insurance, Bluestar Ltd, Shell, and many others.
Members | Rs. 12,500 + 18% GST |
Non-Members | Rs. 15,000 + 18% GST |
Bank Details for NEFT | |
---|---|
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”
(Batch size 20 participants only – Participation only through advance registration)
Kindly mail your registration (Name, Cell no, Email Id and GST No) on revati.khare@bombaychamber.com
Revati Khare || Assistant Director
Email : revati.khare@bombaychamber.com
Tel. (D) + 91 22 6120 0231; (M) + 91 9892029473
Organizer name -
Venue Name -
Event Fees Type
Event or Seminar - Workshop