{"product_id":"building-agentic-ai-systems-with-xu-qinghan-9798244710861","title":"Building Agentic AI Systems with Python: A Practical Guide to Creating Chatbots, Automation Pipelines, and Autonomous Agents with LLMs and Reinforceme","description":"AI agents are transforming the way software is built, powering intelligent chatbots, automating complex workflows, and enabling systems that can reason, plan, and act autonomously. As large language models (LLMs), reinforcement learning, and open-source agent frameworks mature, developers now have the tools to build truly agentic AI systems in Python.\u003cbr\u003e\u003cb\u003eBuilding Agentic AI Systems with Python\u003c\/b\u003e is a hands-on, end-to-end guide to designing, developing, and deploying intelligent agents for real-world applications. Rather than focusing on theory alone, this book emphasizes practical architectures, implementation patterns, and production-ready workflows used in modern agentic AI systems.\u003cbr\u003eYou will learn how agentic systems work at a fundamental level, covering agent architectures, memory, planning, tool usage, and decision-making. The book explores how LLMs drive reasoning and interaction, how reinforcement learning enables adaptive behavior, and how multiple agents can collaborate to solve complex tasks.\u003cbr\u003eThrough step-by-step projects and real implementations, you will build: \u003col\u003e\n\u003cli\u003eConversational AI agents with persistent memory and contextual awareness\u003c\/li\u003e\n\u003cli\u003eTask-oriented agents that use tools, APIs, and external services\u003c\/li\u003e\n\u003cli\u003eAutomation pipelines using frameworks like n8n\u003c\/li\u003e\n\u003cli\u003eMulti-agent systems capable of coordination and collaboration\u003c\/li\u003e\n\u003cli\u003ePython-driven autonomous agents that learn and improve over time\u003c\/li\u003e\n\u003c\/ol\u003eBeyond development, the book also addresses production concerns, including system integration, deployment strategies, monitoring, performance optimization, and long-term scalability. You'll learn how to package agents for real use cases and connect them with vector databases, external APIs, and modern infrastructure.\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eThis book is written for developers, engineers, data scientists, and AI enthusiasts who want to move beyond simple scripts and build intelligent, agent-based systems. A basic understanding of Python is recommended, but no prior experience with reinforcement learning or agent frameworks is required.\u003cbr\u003eIf you want to build AI systems that don't just respond, but \u003cb\u003ethink, learn, and act\u003c\/b\u003e, this book provides the practical knowledge and hands-on skills to help you do it.\u003cbr\u003eStart building the next generation of intelligent automation with agentic AI.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Xu Qinghan\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798244710861\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/20\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 158\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.63lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 10.00h x 7.00w x 0.34d","brand":"Xu Qinghan","offers":[{"title":"Paperback","offer_id":48443131592959,"sku":"9798244710861","price":19.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_48953d44-cb87-4463-babe-ec6e3f02aac2.jpg?v=1777202044","url":"https:\/\/www.whiterainbookhouse.com\/products\/building-agentic-ai-systems-with-xu-qinghan-9798244710861","provider":"WR Book House","version":"1.0","type":"link"}