Isbn: 9798184782966 - multi-agent ai systems engineering: orchestrating production workflows with langgraph, crewai, autogen, and mcp (production ai engineering series) (5 resultados)

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

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

Paperback. Condición: new. Paperback. Master the Next Frontier of Artificial IntelligenceSingle prompt-response LLMs are no longer enough. The future of enterprise AI lies in Multi-Agent AI Systems Engineering-where specialized, autonomous agents collaborate, manage complex states, use advanced tools, and orchestrate sophisticated workflows to solve real-world problems.This comprehensive, production-grade guide bridges the gap between theoretical AI concepts and enterprise-ready deployment. You will learn how to architect, secure, and scale multi-agent systems using the industry's leading frameworks: LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP).What You Will Master in This Book: State Machine Workflows: Build reliable, stateful workflows with LangGraph, incorporating human-in-the-loop interventions.Role-Based Orchestration: Design autonomous teams with CrewAI using hierarchical task decomposition and event-driven flows.Conversational AI Architectures: Implement actor-model multi-agent communication with Microsoft's AutoGen.Standardized Tool Integration: Leverage Anthropic's Model Context Protocol (MCP) for seamless client-server tool connectivity.Enterprise-Grade Security: Mitigate prompt injection, manage PII, and implement strict AI governance frameworks.Production Deployment: Architect scalable, observable infrastructures with comprehensive testing, evaluation, and LLM monitoring.Whether you are a software engineer, AI architect, or enterprise developer, this book delivers the exact blueprints, operational patterns, and code-first strategies required to build reliable, sovereign AI systems that drive actual business value. Stop prompting, start engineering. 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. Master the Next Frontier of Artificial IntelligenceSingle prompt-response LLMs are no longer enough. The future of enterprise AI lies in Multi-Agent AI Systems Engineering-where specialized, autonomous agents collaborate, manage complex states, use advanced tools, and orchestrate sophisticated workflows to solve real-world problems.This comprehensive, production-grade guide bridges the gap between theoretical AI concepts and enterprise-ready deployment. You will learn how to architect, secure, and scale multi-agent systems using the industry's leading frameworks: LangGraph, CrewAI, AutoGen, and the Model Context Protocol (MCP).What You Will Master in This Book: State Machine Workflows: Build reliable, stateful workflows with LangGraph, incorporating human-in-the-loop interventions.Role-Based Orchestration: Design autonomous teams with CrewAI using hierarchical task decomposition and event-driven flows.Conversational AI Architectures: Implement actor-model multi-agent communication with Microsoft's AutoGen.Standardized Tool Integration: Leverage Anthropic's Model Context Protocol (MCP) for seamless client-server tool connectivity.Enterprise-Grade Security: Mitigate prompt injection, manage PII, and implement strict AI governance frameworks.Production Deployment: Architect scalable, observable infrastructures with comprehensive testing, evaluation, and LLM monitoring.Whether you are a software engineer, AI architect, or enterprise developer, this book delivers the exact blueprints, operational patterns, and code-first strategies required to build reliable, sovereign AI systems that drive actual business value. Stop prompting, start engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…