9798273534353 - Mastering Agentic AI Systems: Architect Production-Ready Autonomous Multi-Agent Workflows with MCP, A2A, LangChain, LangGraph, RAG 2.0, Open-Source LLMs, Docker, Ku... (11 resultados)

Condición: New.

Paperback. Condición: New.

Condición: As New. Unread book in perfect condition.

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

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

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. Mastering Agentic AI Systems delivers the ultimate engineering playbook for building autonomous multi-agent systems that reason, collaborate, negotiate, and self-orchestrate across enterprise-grade workflows. Leveraging open-source LLMs, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, LangChain, LangGraph, RAG 2.0, Docker, Kubernetes, and production governance frameworks, this hands-on guide transforms developers into agentic architects capable of deploying scalable, secure, and explainable autonomous agents today. Packed with executable code, deployment blueprints, security patterns, monitoring dashboards, and real-world case studies, every chapter equips AI engineers, ML architects, and technical leaders with production-ready solutions for intelligent assistants, SaaS orchestration platforms, and mission-critical agent networks. Master dynamic retrieval, stateful reasoning, distributed decision-making, and cloud-native scaling-without vendor lock-in.What You'll LearnDesign full-stack agentic architectures with MCP-driven context persistence and A2A negotiation protocolsOrchestrate complex multi-step reasoning using LangChain and LangGraph state machinesImplement adaptive RAG 2.0 pipelines that evolve retrieval strategies based on reasoning gapsContainerize and scale agent fleets with Docker, Kubernetes, Helm, and service meshesEnforce enterprise governance, RBAC, audit trails, and anomaly detection for agentic systemsBuild fault-tolerant, self-healing agent networks with observability, tracing, and chaos engineeringWho This Book Is ForAI Engineers, ML Architects, DevOps Specialists, CTOs, and Researchers ready to ship autonomous agents into production. 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. Condición: new. Paperback. Mastering Agentic AI Systems delivers the ultimate engineering playbook for building autonomous multi-agent systems that reason, collaborate, negotiate, and self-orchestrate across enterprise-grade workflows. Leveraging open-source LLMs, Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, LangChain, LangGraph, RAG 2.0, Docker, Kubernetes, and production governance frameworks, this hands-on guide transforms developers into agentic architects capable of deploying scalable, secure, and explainable autonomous agents today. Packed with executable code, deployment blueprints, security patterns, monitoring dashboards, and real-world case studies, every chapter equips AI engineers, ML architects, and technical leaders with production-ready solutions for intelligent assistants, SaaS orchestration platforms, and mission-critical agent networks. Master dynamic retrieval, stateful reasoning, distributed decision-making, and cloud-native scaling-without vendor lock-in.What You'll LearnDesign full-stack agentic architectures with MCP-driven context persistence and A2A negotiation protocolsOrchestrate complex multi-step reasoning using LangChain and LangGraph state machinesImplement adaptive RAG 2.0 pipelines that evolve retrieval strategies based on reasoning gapsContainerize and scale agent fleets with Docker, Kubernetes, Helm, and service meshesEnforce enterprise governance, RBAC, audit trails, and anomaly detection for agentic systemsBuild fault-tolerant, self-healing agent networks with observability, tracing, and chaos engineeringWho This Book Is ForAI Engineers, ML Architects, DevOps Specialists, CTOs, and Researchers ready to ship autonomous agents into production. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.