Mastering LangChain & LangGraph: Build Real-World GenAI and Agent Apps with Python, JavaScript & Hum

Unlock the next generation of AI development with Mastering LangChain & LangGraph-your complete guide to building intelligent applications using large language models (LLMs), agents, and generative AI tools.

This book is designed for developers, data scientists, and technical professionals who want to move beyond basic prompts and start building scalable, production-ready GenAI and agentic systems. You'll learn how to use LangChain and LangGraph in both Python and JavaScript to create AI pipelines, automate reasoning, connect APIs, and enable human-AI collaboration through smart workflows.

With practical examples, step-by-step walkthroughs, and real-world use cases, you'll build everything from retrieval-augmented generation (RAG) systems to multi-agent coordination with real-time decision-making.

Discover how to:

• Build autonomous agents using LangChain's memory, tools, and decision chains
• Design and deploy graph-based workflows with LangGraph
• Combine Python and JavaScript to create cross-platform GenAI apps
• Integrate human-in-the-loop features for safety, oversight, and customization
• Move from experimentation to real-world deployment with confidence

Whether you're creating chatbots, document assistants, data agents, or AI copilots, this book equips you with the skills to build modern AI systems that are not only smart-but also controllable, extensible, and impactful.

If you're ready to master the frameworks powering the most advanced AI tools today, this book is your launchpad.