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Artículo: AMZ-B0FG1BP5LX

Building Autonomous AI Workflows with LangChain and MCP: The Developer’s Guide to Tool-Oriented Agents and Context-Aware Systems

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Hardcover

Hardcover

Kindle

Paperback

Detalles del producto

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En stock

Peso con empaque
0.70 kg

Devolución
Sí

Condición
Nuevo

Producto de
Amazon

Viaja desde
USA

Sobre este producto

Building Autonomous AI Workflows with LangChain and MCP The Developer’s Guide to Tool-Oriented Agents and Context-Aware Systems AI is shifting from simple text completion to fully agentic, tool-using systems—and developers who understand these new workflows will define the next era of software engineering. This book is your complete roadmap to building real, production-ready AI agents using LangChain, LangGraph, LangServe, and the Model Context Protocol (MCP). If you’re ready to go beyond prompts and build systems that reason, call tools, coordinate workflows, and operate inside real applications, this guide gives you the architecture, patterns, and implementation strategy you need. Who This Book Is For This book is written for developers and technical teams who want to: • Build AI agents that call APIs, execute tools, and make multi-step decisions • Integrate retrieval, memory, vector search, and observability • Deploy LangChain and MCP workflows into real production environments • Design scalable, maintainable backend systems for agentic applications • Move beyond experimentation into full-stack AI engineering No previous experience with LangChain or MCP is required. What You’ll Learn Inside this book, you’ll explore modern agent architecture from the ground up, including: • The evolution from static prompts to agent-based reasoning • How LangChain structures tools, memory, retrievers, chains, and agents • Using LangGraph to manage state, branching, and multi-step coordination • Deploying workflows with LangServe and integrating them with your backend • Designing secure, version-controlled MCP tools with schema-defined contracts • Implementing retrieval-augmented pipelines using Chroma, Pinecone, and Weaviate • Building full-stack assistants, developer agents, copilots, and orchestration layers • Applying observability, logging, secrets management, and tracing at scale Every concept is tied to real engineering workflows—no filler, no speculation. What Makes This Book Different This is not an overview book. It is: • A developer-first guide focused on real-world production engineering • Built entirely around up-to-date tools, libraries, and modern agent frameworks • Structured for clarity, depth, and practical application • Free of hype, outdated examples, or surface-level explanations • Written with the precision, tone, and completeness expected of a best-selling technical guide You will not just understand LangChain and MCP—you will build with them confidently. You’ll Walk Away With By the end, you’ll have: • A complete mental model of autonomous AI agent architecture • Blueprint-level knowledge for backend AI systems • Practical patterns for implementing RAG, memory, vector databases, and tool-use • Reusable templates for agent coordination, workflow orchestration, and secure tool execution • The confidence to build production-grade AI systems—not just prototypes Whether you’re building internal tools, enterprise agents, AI copilots, or orchestrated automation pipelines, this book shows you how to architect the next generation of intelligent, tool-using software systems.

$118,12

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$118,12

60% OFF

$47,25

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