ISBN: 9798190140576 - building ai agents for production systems: design, deploy, and scale llm-powered multi-agent applications with mcp, memory, tool calling, rag, observability, and enterprise architecture (6 resultados)

Paperback. Condición: new. Paperback. Stop Building AI Demos. Start Building Production AI Agents.Anyone can connect an LLM to an API and call it an AI agent. Very few engineers know how to build Production AI Agents that are reliable, scalable, secure, observable, and ready for enterprise deployment.If you've struggled with hallucinations, unreliable outputs, poor tool integration, limited context, deployment complexity, or scaling AI beyond proof-of-concept projects, you're not alone. Most AI books focus on prompts, isolated frameworks, or simple demos-but few teach the AI Agent Engineering principles required to build intelligent systems organizations can trust.This book bridges that gap.Building AI Agents for Production Systems is a practical, engineering-first guide to designing, deploying, and operating modern Enterprise AI applications. Instead of focusing on a single framework, it teaches the production architecture, design patterns, and engineering practices that remain valuable as AI technologies evolve.From architecture to deployment, you'll build intelligent applications using MCP (Model Context Protocol), Memory Engineering, RAG Engineering, Tool Calling, AI Orchestration, Multi-Agent Systems, observability, security, governance, and enterprise integration through four complete end-to-end production projects.Inside this book, you'll learn how to: Build Production AI Agents instead of simple chatbotsMaster the foundations of AI Agent EngineeringDesign scalable AI System Design architecturesEngineer reliable single-agent and Multi-Agent SystemsImplement MCP (Model Context Protocol) for enterprise integrationBuild persistent memory and advanced context managementApply RAG Engineering to reduce hallucinations and improve accuracyCreate secure Tool Calling workflows and enterprise API integrationsDevelop robust AI Orchestration for autonomous agentsDeploy AI systems using Docker, cloud platforms, and CI/CDMonitor, evaluate, trace, and optimize production AI systemsApply enterprise-grade security, governance, and guardrailsBuild four complete production-ready AI applicationsBuild Real-World ProjectsEnterprise Knowledge AssistantAutonomous Customer Support PlatformMulti-Agent Business Workflow AutomationIntelligent Operations Monitoring PlatformPerfect for: AI EngineersSoftware EngineersBackend EngineersLLM Engineering professionalsMachine Learning EngineersPlatform & DevOps EngineersSolution ArchitectsEnterprise DevelopersTechnical LeadsAnyone building modern Agentic AI solutionsUnlike books centered on a single library or rapidly changing implementation details, this guide teaches timeless engineering principles that apply across today's leading AI frameworks and tomorrow's technologies. You'll learn how to design intelligent systems that are maintainable, scalable, observable, secure, and production-ready.Whether you're building enterprise assistants, autonomous workflows, developer tools, internal copilots, or large-scale Enterprise AI platforms, this book provides a complete roadmap from concept to production.The future belongs to engineers who can build reliable Production AI Agents-not just AI demos. If you're ready to master AI Agent Engineering, build intelligent Multi-Agent Systems, leverage MCP, RAG Engineering, and AI Orchestration, and deploy production-ready Enterprise AI applications with confidence, this book is your blueprint Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: new. Paperback. Stop Building AI Demos. Start Building Production AI Agents.Anyone can connect an LLM to an API and call it an AI agent. Very few engineers know how to build Production AI Agents that are reliable, scalable, secure, observable, and ready for enterprise deployment.If you've struggled with hallucinations, unreliable outputs, poor tool integration, limited context, deployment complexity, or scaling AI beyond proof-of-concept projects, you're not alone. Most AI books focus on prompts, isolated frameworks, or simple demos-but few teach the AI Agent Engineering principles required to build intelligent systems organizations can trust.This book bridges that gap.Building AI Agents for Production Systems is a practical, engineering-first guide to designing, deploying, and operating modern Enterprise AI applications. Instead of focusing on a single framework, it teaches the production architecture, design patterns, and engineering practices that remain valuable as AI technologies evolve.From architecture to deployment, you'll build intelligent applications using MCP (Model Context Protocol), Memory Engineering, RAG Engineering, Tool Calling, AI Orchestration, Multi-Agent Systems, observability, security, governance, and enterprise integration through four complete end-to-end production projects.Inside this book, you'll learn how to: Build Production AI Agents instead of simple chatbotsMaster the foundations of AI Agent EngineeringDesign scalable AI System Design architecturesEngineer reliable single-agent and Multi-Agent SystemsImplement MCP (Model Context Protocol) for enterprise integrationBuild persistent memory and advanced context managementApply RAG Engineering to reduce hallucinations and improve accuracyCreate secure Tool Calling workflows and enterprise API integrationsDevelop robust AI Orchestration for autonomous agentsDeploy AI systems using Docker, cloud platforms, and CI/CDMonitor, evaluate, trace, and optimize production AI systemsApply enterprise-grade security, governance, and guardrailsBuild four complete production-ready AI applicationsBuild Real-World ProjectsEnterprise Knowledge AssistantAutonomous Customer Support PlatformMulti-Agent Business Workflow AutomationIntelligent Operations Monitoring PlatformPerfect for: AI EngineersSoftware EngineersBackend EngineersLLM Engineering professionalsMachine Learning EngineersPlatform & DevOps EngineersSolution ArchitectsEnterprise DevelopersTechnical LeadsAnyone building modern Agentic AI solutionsUnlike books centered on a single library or rapidly changing implementation details, this guide teaches timeless engineering principles that apply across today's leading AI frameworks and tomorrow's technologies. You'll learn how to design intelligent systems that are maintainable, scalable, observable, secure, and production-ready.Whether you're building enterprise assistants, autonomous workflows, developer tools, internal copilots, or large-scale Enterprise AI platforms, this book provides a complete roadmap from concept to production.The future belongs to engineers who can build reliable Production AI Agents-not just AI demos. If you're ready to master AI Agent Engineering, build intelligent Multi-Agent Systems, leverage MCP, RAG Engineering, and AI Orchestration, and deploy production-ready Enterprise AI applications with confidence, this book is yo Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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