{"product_id":"master-langgraph-hawke-nexon-9798283644172","title":"Master LangGraph: A Developer's Guide to AI Workflows and Agents with LangChain","description":"\u003cb\u003eMaster LangGraph: A Developer's Guide to AI Workflows and Agents with LangChain\u003c\/b\u003e\u003cbr\u003eBuild scalable, intelligent, and production-ready AI applications using the next-generation graph-based framework for Python. \u003cp\u003e\u003c\/p\u003eThe future of AI development is graph-based - are you ready to lead the charge?\u003cbr\u003eLangGraph is revolutionizing how developers design and orchestrate intelligent workflows using Large Language Models (LLMs). Whether you're building collaborative agents, research assistants, or automated enterprise systems, this book provides the roadmap to mastering LangGraph with Python and LangChain. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eInside this hands-on guide, you'll learn how to: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eThink in graphs: Model AI workflows and multi-agent systems using LangGraph's node, edge, and state architecture. \u003cp\u003e\u003c\/p\u003eGo beyond pipelines: Explore the power of conditionals, loops, memory, and tool use in dynamic, decision-based agents. \u003cp\u003e\u003c\/p\u003eBuild real-world apps: From research assistants to product ideators, walk through full projects with production-ready patterns. \u003cp\u003e\u003c\/p\u003eDesign intelligent agents: Implement LangChain tools, custom functions, memory modules, and OpenAI function calling. \u003cp\u003e\u003c\/p\u003eScale and deploy with confidence: Learn how to integrate FastAPI, Streamlit, Docker, CI\/CD pipelines, and observability tools. \u003cp\u003e\u003c\/p\u003eEnsure safety and ethics: Build secure, explainable, and aligned agent systems with guardrails and auditability. \u003cp\u003e\u003c\/p\u003eStay ahead of the curve: Discover emerging trends, distributed agents, and the LangGraph open-source roadmap. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWho this book is for: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eDevelopers working with Python, LLMs, and LangChain \u003cp\u003e\u003c\/p\u003eAI engineers building multi-agent systems and automation workflows \u003cp\u003e\u003c\/p\u003eTechnical founders and researchers looking to prototype scalable AI apps \u003cp\u003e\u003c\/p\u003eEducators, students, and hackathon participants exploring next-gen AI tools \u003cp\u003e\u003c\/p\u003e\u003cb\u003eBonus Resources Include: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eCompanion GitHub repository with full code examples \u003cp\u003e\u003c\/p\u003eDeveloper challenges, project templates, and workshop curriculum \u003cp\u003e\u003c\/p\u003eGlossary, API references, and prompt engineering templates \u003cp\u003e\u003c\/p\u003eIf you're serious about building intelligent, adaptive, and scalable AI systems - this is the one book you can't afford to miss.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Hawke Nexon\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798283644172\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 05\/12\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 288\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.48lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.60d","brand":"Hawke Nexon","offers":[{"title":"Paperback","offer_id":47136580534527,"sku":"9798283644172","price":19.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_1b3a49ba-98b4-45e4-aac4-5e80df38a3a9.jpg?v=1755023780","url":"https:\/\/www.whiterainbookhouse.com\/products\/master-langgraph-hawke-nexon-9798283644172","provider":"WR Book House","version":"1.0","type":"link"}