Isbn: 9798257239670 - ai agents handbook: a comprehensive guide to designing, building, and deploying autonomous multi-agent systems with langgraph and large language models: 10 (ai guide handbook collection) (8 resultados)

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condición: Neu. Neuware - The definitive guide to building production-ready AI agents in 2026.As AI shifts from simple chatbots to autonomous systems capable of complex reasoning, planning, and execution, developers and organizations need a clear, practical roadmap. This handbook delivers exactly that.Whether you're an AI engineer, software developer, technical lead, or product builder, this book will teach you how to design, develop, and deploy reliable multi-agent systems that deliver real business value.What You'll Learn- Master the complete agent architecture: LLM brain, tools, memory, planning, and reflection loops- Build production-grade agents using LangGraph - the industry standard in 2026- Design and orchestrate sophisticated multi-agent systems (hierarchical, swarm, debate, and supervisory patterns)- Implement advanced techniques: Plan-and-Execute, ReWOO, Reflexion, dynamic replanning, and deep RAG integration- Deploy agents at scale using serverless, Docker, Kubernetes, and edge computing- Master evaluation, testing, security, guardrails, and responsible AI practices- Learn from real-world case studies across software engineering, finance, healthcare, business automation, and emerging marketsWhy This Book Stands OutWritten by a hands-on AI engineer, this is not another hype-filled book. It is a battle-tested, code-heavy handbook filled with practical examples, complete LangGraph implementations, production deployment patterns, and hard-won lessons from real deployments.You'll move beyond toy agents and learn how to build systems that are: - Reliable and observable- Cost-efficient and scalable- Secure against prompt injection and data leakage- Aligned with enterprise governance and compliance standardsPerfect for: - AI Engineers and Machine Learning Practitioners- Software Developers moving into agentic AI- Technical Leaders and Architects- Product Managers and Innovation TeamsIncludes: - Full working code examples (available on GitHub)- Ready-to-use prompt templates and tool libraries- Evaluation frameworks and monitoring setups- Deployment templates for Kubernetes and serverlessThe future belongs to those who can build autonomous AI systems that don't just answer questions - they get things done.Master the skills that will define the next decade of software development.Order your copy today and start building the intelligent systems of tomorrow.…

Paperback. Condición: new. Paperback. The definitive guide to building production-ready AI agents in 2026.As AI shifts from simple chatbots to autonomous systems capable of complex reasoning, planning, and execution, developers and organizations need a clear, practical roadmap. This handbook delivers exactly that.Whether you're an AI engineer, software developer, technical lead, or product builder, this book will teach you how to design, develop, and deploy reliable multi-agent systems that deliver real business value.What You'll LearnMaster the complete agent architecture: LLM brain, tools, memory, planning, and reflection loopsBuild production-grade agents using LangGraph - the industry standard in 2026Design and orchestrate sophisticated multi-agent systems (hierarchical, swarm, debate, and supervisory patterns)Implement advanced techniques: Plan-and-Execute, ReWOO, Reflexion, dynamic replanning, and deep RAG integrationDeploy agents at scale using serverless, Docker, Kubernetes, and edge computingMaster evaluation, testing, security, guardrails, and responsible AI practicesLearn from real-world case studies across software engineering, finance, healthcare, business automation, and emerging marketsWhy This Book Stands OutWritten by a hands-on AI engineer, this is not another hype-filled book. It is a battle-tested, code-heavy handbook filled with practical examples, complete LangGraph implementations, production deployment patterns, and hard-won lessons from real deployments.You'll move beyond toy agents and learn how to build systems that are: Reliable and observableCost-efficient and scalableSecure against prompt injection and data leakageAligned with enterprise governance and compliance standardsPerfect for: AI Engineers and Machine Learning PractitionersSoftware Developers moving into agentic AITechnical Leaders and ArchitectsProduct Managers and Innovation TeamsIncludes: Full working code examples (available on GitHub)Ready-to-use prompt templates and tool librariesEvaluation frameworks and monitoring setupsDeployment templates for Kubernetes and serverlessThe future belongs to those who can build autonomous AI systems that don't just answer questions - they get things done.Master the skills that will define the next decade of software development.Order your copy today and start building the intelligent systems of tomorrow. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Print on Demand.

Paperback. Condición: new. Paperback. The definitive guide to building production-ready AI agents in 2026.As AI shifts from simple chatbots to autonomous systems capable of complex reasoning, planning, and execution, developers and organizations need a clear, practical roadmap. This handbook delivers exactly that.Whether you're an AI engineer, software developer, technical lead, or product builder, this book will teach you how to design, develop, and deploy reliable multi-agent systems that deliver real business value.What You'll LearnMaster the complete agent architecture: LLM brain, tools, memory, planning, and reflection loopsBuild production-grade agents using LangGraph - the industry standard in 2026Design and orchestrate sophisticated multi-agent systems (hierarchical, swarm, debate, and supervisory patterns)Implement advanced techniques: Plan-and-Execute, ReWOO, Reflexion, dynamic replanning, and deep RAG integrationDeploy agents at scale using serverless, Docker, Kubernetes, and edge computingMaster evaluation, testing, security, guardrails, and responsible AI practicesLearn from real-world case studies across software engineering, finance, healthcare, business automation, and emerging marketsWhy This Book Stands OutWritten by a hands-on AI engineer, this is not another hype-filled book. It is a battle-tested, code-heavy handbook filled with practical examples, complete LangGraph implementations, production deployment patterns, and hard-won lessons from real deployments.You'll move beyond toy agents and learn how to build systems that are: Reliable and observableCost-efficient and scalableSecure against prompt injection and data leakageAligned with enterprise governance and compliance standardsPerfect for: AI Engineers and Machine Learning PractitionersSoftware Developers moving into agentic AITechnical Leaders and ArchitectsProduct Managers and Innovation TeamsIncludes: Full working code examples (available on GitHub)Ready-to-use prompt templates and tool librariesEvaluation frameworks and monitoring setupsDeployment templates for Kubernetes and serverlessThe future belongs to those who can build autonomous AI systems that don't just answer questions - they get things done.Master the skills that will define the next decade of software development.Order your copy today and start building the intelligent systems of tomorrow. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…