Publisher's Synopsis
Book Description:
Unlock the next era of artificial intelligence with Learn LangGraph AI Agents-your comprehensive, practical, and future-focused guide to building intelligent, adaptable AI agents using LangChain, LangGraph, and large language models (LLMs). Whether you're an engineer, innovator, startup founder, automation expert, or technical leader, this book delivers step-by-step, actionable strategies for designing and deploying cutting-edge AI systems that are scalable, autonomous, and production-ready.
This hands-on guide goes beyond theory. You'll learn how to build and scale multi-agent AI workflows using Retrieval-Augmented Generation (RAG), integrate real-time data sources and APIs, and design systems that reason, adapt, and take initiative. Master AI agents powered by LLMs, automate complex business tasks, and create intelligent, self-directed solutions that drive real-world impact.
Inside you'll discover how to:
Build modular agentic architectures using LangGraph and LangChain
Apply advanced prompt engineering, contextual reasoning, and decision-making techniques
Design multi-agent systems powered by RAG and real-time APIs
Automate workflows using n8n and build scalable agent ecosystems
Integrate LLMs with external tools for intelligent automation and task orchestration
Navigate AI ethics, explainability, and privacy in production systems
Future-proof your skillset in the evolving AI landscape
Whether you're automating workflows, scaling enterprise operations, or architecting AI-powered apps, this book gives you the tools and insight to lead in the AI revolution. Grounded in best practices and illustrated with real code examples, Learn LangGraph AI Agents equips you to build intelligent systems that solve problems, optimize processes, and drive innovation.
If you're ready to master the new wave of agentic AI-and stay ahead in one of the most disruptive shifts in technology-this is your ultimate guide.
