{"product_id":"agentic-ai-systems-a-practical-guide-to-llms-langchain-langgraph-and-autonomous-intelligence-9798264698286","title":"Agentic AI Systems: A Practical Guide to LLMs, LangChain, LangGraph, and Autonomous Intelligence","description":"\u003cp\u003e • Author(s): Rufus J. Andrews\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Social Aspects - Human-Computer Interaction\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBook Description\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eAgentic AI Systems: A Practical Guide to LLMs, LangChain, LangGraph, and Autonomous Intelligence\u003c\/b\u003e is a comprehensive resource for mastering the rapidly evolving world of artificial intelligence, specifically focusing on \u003cb\u003eLarge Language Models (LLMs)\u003c\/b\u003e, \u003cb\u003eLangChain\u003c\/b\u003e, \u003cb\u003eLangGraph\u003c\/b\u003e, and \u003cb\u003eautonomous AI systems\u003c\/b\u003e. This book dives deep into the architecture, development, and deployment of \u003cb\u003eagentic AI\u003c\/b\u003e intelligent systems capable of autonomous decision-making, reasoning, and task execution. Authored by \u003cb\u003eRufus J. Andrews\u003c\/b\u003e, this guide combines theoretical insights with practical, hands-on tutorials to empower readers to build cutting-edge AI applications. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat's in the Book?\u003c\/b\u003e\u003cbr\u003eThis book provides a step-by-step exploration of \u003cb\u003eagentic AI systems\u003c\/b\u003e, covering the foundational principles of \u003cb\u003eLLMs\u003c\/b\u003e, the modular capabilities of \u003cb\u003eLangChain\u003c\/b\u003e for chaining language models with external tools, and the graph-based workflows of \u003cb\u003eLangGraph\u003c\/b\u003e for orchestrating complex AI processes. Readers will learn to design, train, and deploy \u003cb\u003eautonomous AI agents\u003c\/b\u003e that can perform tasks such as natural language processing (NLP), automated reasoning, data analysis, and real-time decision-making. The book includes real-world case studies, code examples, and best practices for integrating \u003cb\u003eAI frameworks\u003c\/b\u003e, optimizing performance, and ensuring ethical AI development. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWho Is This Book For?\u003c\/b\u003e\u003cbr\u003eThis book is designed for \u003cb\u003eAI developers\u003c\/b\u003e, \u003cb\u003edata scientists\u003c\/b\u003e, \u003cb\u003emachine learning engineers\u003c\/b\u003e, \u003cb\u003esoftware developers\u003c\/b\u003e, and \u003cb\u003etechnology enthusiasts\u003c\/b\u003e who want to harness the power of \u003cb\u003eagentic AI\u003c\/b\u003e. It is ideal for intermediate to advanced practitioners with a basic understanding of \u003cb\u003ePython programming\u003c\/b\u003e and \u003cb\u003emachine learning concepts\u003c\/b\u003e, as well as business leaders and product managers seeking to leverage \u003cb\u003eAI solutions\u003c\/b\u003e for innovation. Whether you're building \u003cb\u003eAI-powered applications\u003c\/b\u003e, automating workflows, or exploring \u003cb\u003eautonomous intelligence\u003c\/b\u003e, this guide offers actionable insights. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat Will Readers Learn?\u003c\/b\u003e\u003col\u003e\n\u003cli\u003e\n\u003cb\u003eFundamentals of LLMs\u003c\/b\u003e: Understand the architecture, training, and fine-tuning of \u003cb\u003eLarge Language Models\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLangChain Mastery\u003c\/b\u003e: Learn to build modular AI pipelines using \u003cb\u003eLangChain\u003c\/b\u003e for tasks like text generation, retrieval-augmented generation (RAG), and tool integration.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLangGraph Workflows\u003c\/b\u003e: Design and implement graph-based AI workflows for complex, multi-step processes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAutonomous AI Systems\u003c\/b\u003e: Develop \u003cb\u003eagentic AI agents\u003c\/b\u003e capable of reasoning, planning, and executing tasks independently.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePractical Applications\u003c\/b\u003e: Apply \u003cb\u003eAI frameworks\u003c\/b\u003e to real-world use cases such as chatbots, virtual assistants, and automated decision systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEthical AI Practices\u003c\/b\u003e: Navigate challenges like bias mitigation, transparency, and responsible AI deployment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOptimization Techniques\u003c\/b\u003e: Enhance AI performance through fine-tuning, prompt engineering, and resource management.\u003c\/li\u003e\n\u003c\/ol\u003eWith a focus on \u003cb\u003eAI development\u003c\/b\u003e, \u003cb\u003emachine learning frameworks\u003c\/b\u003e, \u003cb\u003enatural language processing\u003c\/b\u003e, and \u003cb\u003eautonomous systems\u003c\/b\u003e, this book equips readers with the tools and knowledge to stay ahead in the \u003cb\u003eAI revolution\u003c\/b\u003e. Perfect for those searching for \u003cb\u003eAI programming\u003c\/b\u003e, \u003cb\u003eLangChain tutorials\u003c\/b\u003e, \u003cb\u003eLangGraph guides\u003c\/b\u003e, or \u003cb\u003eLLM development\u003c\/b\u003e, this book is a must-have for anyone aiming to create intelligent, scalable, and ethical \u003cb\u003eAI solutions\u003c\/b\u003e.","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47779182542999,"sku":"9798264698286","price":2183.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798264698286.webp?v=1778034095","url":"https:\/\/atlanticbooks.com\/products\/agentic-ai-systems-a-practical-guide-to-llms-langchain-langgraph-and-autonomous-intelligence-9798264698286","provider":"Atlantic Books","version":"1.0","type":"link"}