Agentic AI Second Edition: Building Intelligent AI Agents with LangGraph, LangChain, LLMs, RAG, Tools, Memory, and Multi-Agent Systems

This book is a practical guide for students, developers, software engineers, AI enthusiasts, and working professionals who want to master the next generation of AI applications. Starting from the fundamentals of Large Language Models (LLMs), the book gradually introduces the concepts, architecture, frameworks, and implementation of intelligent AI agents through hands-on examples and real-world projects.

Inside this book, you'll learn:

Introduction to Artificial Intelligence, Generative AI, and Agentic AI

Understanding Large Language Models (LLMs)

Prompt Engineering techniques for AI agents

Agent Architecture and Decision-Making

Planning, Reasoning, Memory, and Tool Usage

Single-Agent vs Multi-Agent Systems

AI Agent Design Patterns and Workflows

Retrieval-Augmented Generation (RAG)

Model Context Protocol (MCP)

AI Agent Memory Management

Human-in-the-Loop Systems

Autonomous Task Execution

AI Agent Security, Guardrails, and Best Practices

Building AI Agents using LangChain and LangGraph

Integrating External APIs and Tools

AI Agent Deployment and Production Considerations

Real-World Agentic AI Projects and Case Studies

Each chapter combines theory with practical implementation, enabling you to build intelligent AI applications that can analyze information, interact with external tools, automate workflows, and collaborate effectively.

By the end of this book, you will have the knowledge and confidence to design, develop, and deploy production-ready AI agents capable of solving real-world business and automation challenges.

Whether you're beginning your AI journey or looking to upgrade your skills to the latest AI technologies, Agentic AI provides a comprehensive roadmap to mastering autonomous intelligent systems.