Mastering Agentic AI Systems: Architect Production-Ready Autonomous Multi-Agent Workflows with MCP, A2A, LangChain, LangGraph, RAG 2.0, Open-Source LLMs, Docker, Kubernetes, and Enterprise Governance - Couverture souple

Vireo, Isla

 
9798273534353: Mastering Agentic AI Systems: Architect Production-Ready Autonomous Multi-Agent Workflows with MCP, A2A, LangChain, LangGraph, RAG 2.0, Open-Source LLMs, Docker, Kubernetes, and Enterprise Governance
Couverture souple
ISBN 13 : 9798273534353
Editeur : Independently published, 2025

Synopsis

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 Learn

  • Design full-stack agentic architectures with MCP-driven context persistence and A2A negotiation protocols
  • Orchestrate complex multi-step reasoning using LangChain and LangGraph state machines
  • Implement adaptive RAG 2.0 pipelines that evolve retrieval strategies based on reasoning gaps
  • Containerize and scale agent fleets with Docker, Kubernetes, Helm, and service meshes
  • Enforce enterprise governance, RBAC, audit trails, and anomaly detection for agentic systems
  • Build fault-tolerant, self-healing agent networks with observability, tracing, and chaos engineering
Who This Book Is For
AI Engineers, ML Architects, DevOps Specialists, CTOs, and Researchers ready to ship autonomous agents into production.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798273534353
Reliure
Broché
Nombre de pages
185
Coordonnées du fabricant
non disponible
Personne responsable
non disponible