You’ll Learn: 

Module 1: Introduction to Agentic AI & Autonomous Systems

🔹 Concept of Agency | Self-directed decision-making | Real-life agent scenarios

Module 2: The Autonomous Intelligence Core

🔹 Decision-making Loops | Goal Orchestration | Planning vs Execution Agents

Module 3: LangChain Fundamentals to Advanced

🔹 Chains, Agents, Tools, and Memory | Full LangChain Ecosystem

Module 4: Multi-LLM Integration

🔹 Using OpenAI, Claude, Gemini, Cohere | Powerful workflows in one agent

Module 5: Tool-Enabled Agents & API Calling

🔹 Build Agents that browse, calculate, retrieve, plan — like a human!

Module 6: RAG (Retrieval Augmented Generation)

🔹 With Vector DBs like FAISS, Pinecone, Weaviate | Context-aware agents

Module 7: Autonomous Multi-Agent Systems

🔹 Agents talking to Agents | Agent teams solving complex tasks together

Module 8: Fine-Tuning & PEFT for Personalized AI

🔹 Lightweight tuning | DreamBooth | Adapter Training

Module 9: Project Capstone — Build Your Own Agentic AI System

🔹 Use all skills to solve a real-world problem with a deployable AI solution!