Modern AI Agent Engineering with LangGraph: Build Autonomous AI Systems, Agentic Workflows, RAG Applications, and Production LLM Solutions

Name: Modern AI Agent Engineering with LangGraph: Build Autonomous AI Systems, Agentic Workflows, RAG Applications, and Production LLM Solutions
Brand: Independently Published
SKU: 9798185284346
Price: 1744.0 INR
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by Adrian J. Corwin

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ISBN13: 9798185284346
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: July 2, 2026
Pages: 126
Original Price: USD 20.0
Language: English
Edition: N/A
Item Weight: 232 grams
BISAC Subject(s): Software Development & Engineering / General

About The Book

Building production-ready AI agents is hard.

Most developers can create simple chains or basic agents that work in controlled environments. Turning those experiments into reliable, scalable, observable, secure, and maintainable systems that deliver consistent value in real enterprise settings is an entirely different challenge.
This book bridges that gap.

Production-Ready AI Agents with LangGraph is a practical, project-driven guide that teaches you how to design, build, test, deploy, and maintain sophisticated agentic AI applications. Through a single, continuously evolving multi-agent research and reporting system, you will master modern AI engineering practices from first principles to production deployment.

What You Will Learn

Build stateful, persistent workflows using LangGraph
Design intelligent, autonomous agents with advanced reasoning and reflection
Create robust multi-agent systems with supervisor and specialist collaboration
Implement enterprise-grade RAG pipelines with hybrid search and grounded retrieval
Integrate external tools and services securely using the Model Context Protocol (MCP)
Develop provider-agnostic architectures supporting OpenAI, Anthropic, Google Gemini, and local models
Apply comprehensive testing, evaluation, observability, and monitoring
Deploy and scale AI applications with FastAPI, Docker, and production best practices
Harden systems with proper security, guardrails, and responsible AI principles

How This Book Teaches
You will follow a single, realistic project that grows in sophistication with every chapter. Expect complete, executable code examples, in-depth architectural discussions, honest analysis of trade-offs, production considerations, and practical troubleshooting guidance. The emphasis is always on real engineering decisions rather than surface-level API usage.

Who This Book Is For
This book is written for Python developers, software engineers, backend developers, AI practitioners, and technical architects who want to move beyond prototypes and build production-grade AI systems. Basic Python knowledge is assumed.
If you are ready to develop the skills and confidence required to deliver reliable, enterprise-ready AI applications, this book will show you how.

Take the next step in your AI engineering journey today.

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