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This book is a practical, hands-on guide for developers, students, AI engineers, and software professionals who want to master the LangChain framework. Starting with the fundamentals, you'll gradually learn how to build intelligent applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, vector databases, embeddings, and LangGraph.
Each chapter includes easy-to-understand explanations, real-world examples, diagrams, and Python code that help you develop AI-powered applications with confidence.
What You'll Learn
Introduction to Large Language Models (LLMs)
LangChain Architecture and Core Components
Prompt Templates and Prompt Engineering
Chat Models and LLM Integration
Output Parsers and Structured Outputs
Embeddings and Vector Databases
Document Loaders and Text Splitters
Retrieval-Augmented Generation (RAG)
Memory and Conversation Management
Tools and Function Calling
AI Agents and Multi-Agent Systems
LangGraph Workflows
Model Context Protocol (MCP)
Building AI Chatbots and Knowledge Assistants
Integrating Hugging Face, OpenAI, Mistral, and Other LLMs
Deploying Production-Ready AI Applications
Best Practices, Performance Optimization, and Security
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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.
