**Agentic AI: Building Intelligent AI Agents with LangChain, LangGraph, LLMs & Generative AI** is a practical and comprehensive guide to understanding, designing, and developing intelligent AI agents capable of reasoning, planning, using tools, interacting with data, and executing complex tasks autonomously.

This book takes you from the fundamentals of Agentic AI to advanced concepts such as **LLM-powered agents, LangChain, LangGraph, tool calling, RAG, memory, agent workflows, multi-agent systems, Human-in-the-Loop, persistence, AI automation, and real-world Agentic AI applications**.

You will learn how to build AI agents that can go beyond simple question-and-answer interactions and perform meaningful tasks by combining **Large Language Models (LLMs), tools, external APIs, databases, documents, memory, and structured workflows**.

### What You Will Learn

* Fundamentals of Generative AI and Agentic AI
* AI Agents and autonomous decision-making
* Large Language Models (LLMs)
* Prompt Engineering for AI Agents
* LangChain for Agent Development
* LangGraph for stateful agent workflows
* Tool Calling and Function Calling
* RAG-based AI Agents
* Memory and conversation management
* Agent persistence and checkpoints
* Human-in-the-Loop workflows
* Multi-Agent AI systems
* AI agents with external APIs and tools
* Autonomous workflows and AI automation
* Building practical Agentic AI applications
* Debugging, testing, and deploying AI agents
* Real-world projects using modern AI technologies

### Who Should Read This Book?

This book is ideal for **Python developers, software developers, students, AI/ML professionals, Generative AI enthusiasts, automation developers, and anyone who wants to build practical AI agents and intelligent AI-powered applications**.

Whether you are starting your journey into Agentic AI or already working with Generative AI and LLMs, this book provides a practical path toward building the next generation of intelligent applications.