Building Autonomous AI Agents with LangChain and LangGraph
Master Agent Orchestration, Multi-Step Workflows, and Production-Ready AI Systems
What if your AI systems could think through complex problems step-by-step, learn from their mistakes, and collaborate with other agents to solve challenges no single system could handle alone? This book teaches you how to build autonomous AI agents that do exactly that using LangChain and LangGraph—the frameworks reshaping how enterprises deploy intelligent systems. You'll move beyond simple chatbots to create agents that orchestrate multi-step workflows, make autonomous decisions, retrieve information from external sources, and continuously improve their performance. Whether you're integrating LLMs into existing applications, designing intelligent chatbots, or building enterprise-grade AI systems, you'll discover practical patterns for agent architecture, state management, prompt engineering, and production deployment. Each chapter combines theory with hands-on implementation, showing you how to handle real-world challenges like error recovery, cost optimization, and debugging complex agent behaviors. By the end, you'll have the knowledge and frameworks to architect AI systems that scale reliably and deliver measurable business value.
Est. Length
238 pages (13 chapters)
Language
English
Publication date
Dec 28, 2025
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