About this ebook
Build Intelligent AI Agents from Scratch Using Python, LangChain, LangGraph, and Modern LLMs
Artificial Intelligence is rapidly evolving from simple chatbots to autonomous AI agents capable of reasoning, planning, using tools, and solving complex real-world problems. LangChain and LangGraph with Agentic AI is a practical, hands-on guide designed to help students, developers, software engineers, AI enthusiasts, and working professionals master the next generation of AI application development.
Starting with the fundamentals of Large Language Models (LLMs), Prompt Engineering, and Generative AI, this book gradually introduces LangChain for building AI-powered applications and LangGraph for creating stateful, multi-agent workflows. Through step-by-step explanations and real-world projects, readers will learn how to design, develop, and deploy intelligent AI agents capable of memory, reasoning, decision-making, and tool usage.
This book emphasizes practical implementation with Python, providing complete source code, architecture diagrams, and industry-oriented examples that can be used in real-world applications.
What You Will Learn
Fundamentals of Generative AI and Large Language Models (LLMs)
Prompt Engineering techniques and best practices
LangChain architecture and core components
Building AI applications with prompts, chains, and tools
Working with memory and conversation management
Retrieval-Augmented Generation (RAG)
Vector databases and embeddings
Document loading, text splitting, and indexing
AI Agents and Agentic AI concepts
Tool calling and function calling
LangGraph fundamentals and execution model
StateGraph, Nodes, Edges, START, and END
Conditional, iterative, and parallel workflows
Human-in-the-loop workflows
Checkpointing and persistence
Multi-agent systems using LangGraph
MCP (Model Context Protocol) integration
AI Guardrails and safety techniques
Building production-ready AI assistants
Deploying AI applications using modern frameworks
Best practices for scalable AI agent development
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About the author
Arvind Choudhary is an experienced Software Developer, Corporate Trainer, and Technology Mentor from India with around 12 years of professional experience in the IT industry. He has worked extensively for 8 years as a developer and 4 years as a corporate trainer, helping students, professionals, and organizations build strong technical skills in modern software technologies.
He specializes in Java Full Stack Development, Python Full Stack Development, MERN Stack, Flutter, Android Development, Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Agentic AI, AI Agents, and Android Firmware Development.
Throughout his career, Arvind Choudhary has trained and mentored numerous students and working professionals through live projects, practical implementation, industry-focused training, and real-world application development. His teaching approach focuses on simplifying complex technical concepts into easy-to-understand practical learning experiences.
As an author and trainer, he is passionate about sharing knowledge in emerging technologies including Generative AI, AI Automation, Prompt Engineering, Large Language Models (LLMs), and modern software engineering practices. His goal is to help learners become industry-ready developers and technology innovators.
Arvind Choudhary continues to contribute to the technology community through technical training, content creation, software development, and educational initiatives focused on next-generation technologies.
