Unlock the power of agentic AI and start building systems that think, reason, and collaborate. This practical guide shows you exactly how to design intelligent, reliable, and scalable multi-agent applications using LangChain, LangGraph, and Python. Whether you are a developer, data engineer, researcher, or AI enthusiast, this book gives you the tools and patterns needed to build production-grade LLM systems that deliver real results.
You will learn how to create autonomous agents that can plan, retrieve information, call tools, work together, and execute complex tasks with minimal human intervention. Each concept is explained clearly and supported with step-by-step examples you can use immediately. From designing your first agent to deploying advanced RAG architectures and fault-tolerant workflows, this guide removes the guesswork and puts modern agentic AI in your hands.
Inside this book, you will discover:
1. How agentic AI works and why it is transforming automation, AI engineering, and product development
2. The exact process for building intelligent agents with LangChain, LangGraph, and Python
3. Proven multi-agent patterns, collaboration strategies, and workflow designs that scale in real applications
4. Essential RAG techniques for grounding your agents in reliable, up-to-date information
5. Error handling, memory design, state management, tool calling, routing, and workflow orchestration
6. Architectures that prevent hallucination, reduce failure, and keep agents aligned with your goals
7. Hands-on projects you can build and deploy, including research copilots, AI workflows, knowledge assistants, and autonomous task agents
8. Optimization, monitoring, debugging, and performance best practices for production-ready systems
Whether you want to streamline workflows, automate complex tasks, build intelligent assistants, or engineer the next generation of AI-powered products, this book gives you the clarity, confidence, and practical skills to make it happen.
If you are ready to move beyond simple chatbots and into real agentic engineering, this is the guide that will take you there.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51847585
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Etat : New. N° de réf. du vendeur 51847585-n
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Unlock the power of agentic AI and start building systems that think, reason, and collaborate. This practical guide shows you exactly how to design intelligent, reliable, and scalable multi-agent applications using LangChain, LangGraph, and Python. Whether you are a developer, data engineer, researcher, or AI enthusiast, this book gives you the tools and patterns needed to build production-grade LLM systems that deliver real results. You will learn how to create autonomous agents that can plan, retrieve information, call tools, work together, and execute complex tasks with minimal human intervention. Each concept is explained clearly and supported with step-by-step examples you can use immediately. From designing your first agent to deploying advanced RAG architectures and fault-tolerant workflows, this guide removes the guesswork and puts modern agentic AI in your hands. Inside this book, you will discover: 1. How agentic AI works and why it is transforming automation, AI engineering, and product development 2. The exact process for building intelligent agents with LangChain, LangGraph, and Python 3. Proven multi-agent patterns, collaboration strategies, and workflow designs that scale in real applications 4. Essential RAG techniques for grounding your agents in reliable, up-to-date information 5. Error handling, memory design, state management, tool calling, routing, and workflow orchestration 6. Architectures that prevent hallucination, reduce failure, and keep agents aligned with your goals 7. Hands-on projects you can build and deploy, including research copilots, AI workflows, knowledge assistants, and autonomous task agents 8. Optimization, monitoring, debugging, and performance best practices for production-ready systems Whether you want to streamline workflows, automate complex tasks, build intelligent assistants, or engineer the next generation of AI-powered products, this book gives you the clarity, confidence, and practical skills to make it happen. If you are ready to move beyond simple chatbots and into real agentic engineering, this is the guide that will take you there. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798275093902
Quantité disponible : 1 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798275093902
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : New. N° de réf. du vendeur 51847585-n
Quantité disponible : Plus de 20 disponibles
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 51847585
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Unlock the power of agentic AI and start building systems that think, reason, and collaborate. This practical guide shows you exactly how to design intelligent, reliable, and scalable multi-agent applications using LangChain, LangGraph, and Python. Whether you are a developer, data engineer, researcher, or AI enthusiast, this book gives you the tools and patterns needed to build production-grade LLM systems that deliver real results. You will learn how to create autonomous agents that can plan, retrieve information, call tools, work together, and execute complex tasks with minimal human intervention. Each concept is explained clearly and supported with step-by-step examples you can use immediately. From designing your first agent to deploying advanced RAG architectures and fault-tolerant workflows, this guide removes the guesswork and puts modern agentic AI in your hands. Inside this book, you will discover: 1. How agentic AI works and why it is transforming automation, AI engineering, and product development 2. The exact process for building intelligent agents with LangChain, LangGraph, and Python 3. Proven multi-agent patterns, collaboration strategies, and workflow designs that scale in real applications 4. Essential RAG techniques for grounding your agents in reliable, up-to-date information 5. Error handling, memory design, state management, tool calling, routing, and workflow orchestration 6. Architectures that prevent hallucination, reduce failure, and keep agents aligned with your goals 7. Hands-on projects you can build and deploy, including research copilots, AI workflows, knowledge assistants, and autonomous task agents 8. Optimization, monitoring, debugging, and performance best practices for production-ready systems Whether you want to streamline workflows, automate complex tasks, build intelligent assistants, or engineer the next generation of AI-powered products, this book gives you the clarity, confidence, and practical skills to make it happen. If you are ready to move beyond simple chatbots and into real agentic engineering, this is the guide that will take you there. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798275093902
Quantité disponible : 1 disponible(s)