Name: Agent-to-Agent (A2A) AI Systems Engineering. Multi-Agent Collaboration, Autonomous AI Workflows, Agent Communication Protocols, Orchestration Systems, and Scalable AI Architectures (en Inglés)
SKU: 67327303
Price: 30.68 USD
Availability: InStock
Author: Yuan Joseph

portada Agent-to-Agent (A2A) AI Systems Engineering. Multi-Agent Collaboration, Autonomous AI Workflows, Agent Communication Protocols, Orchestration Systems, and Scalable AI Architectures (en Inglés)

Agent-to-Agent (A2A) AI Systems Engineering. Multi-Agent Collaboration, Autonomous AI Workflows, Agent Communication Protocols, Orchestration Systems, and Scalable AI Architectures (en Inglés)

Formato

Libro Físico

Editorial

Independently published

Autor

Yuan Joseph

Año

2026

Idioma

Inglés

N° páginas

164

Encuadernación

Tapa Blanda

Dimensiones

25.4x17.8x0.8 cm

ISBN13

9798195498139

Agent-to-Agent (A2A) AI Systems Engineering. Multi-Agent Collaboration, Autonomous AI Workflows, Agent Communication Protocols, Orchestration Systems, and Scalable AI Architectures (en Inglés)

Yuan Joseph (Autor) · Independently published · Tapa Blanda

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Reseña del libro "Agent-to-Agent (A2A) AI Systems Engineering. Multi-Agent Collaboration, Autonomous AI Workflows, Agent Communication Protocols, Orchestration Systems, and Scalable AI Architectures (en Inglés)"

The future of artificial intelligence is not defined by single models working independently, but by networks of intelligent agents collaborating to solve complex problems dynamically and autonomously.
Agent-to-Agent (A2A) systems represent the next stage of AI evolution-where multiple AI agents operate as a coordinated system, communicating, delegating tasks, sharing memory, and making distributed decisions.
This book provides a deep engineering guide to designing and building multi-agent AI systems that function like intelligent distributed teams, capable of solving problems far beyond the ability of a single model.
You will learn how to structure agent ecosystems where each agent has a specialized role, communication protocol, and decision-making capability, enabling the creation of self-organizing and scalable AI infrastructures.
Unlike single-agent AI systems, A2A architectures introduce challenges such as coordination, consistency, conflict resolution, and distributed memory-all of which are covered in detail in this book.
You will learn how to:Design multi-agent AI system architectures from the ground upBuild structured communication protocols between autonomous agentsImplement task delegation, orchestration, and coordination systemsManage shared and private memory across distributed agent networksHandle conflicts, inconsistencies, and synchronization issues in agent systemsScale multi-agent systems across cloud and distributed infrastructureDeploy production-ready autonomous AI ecosystemsBy the end of this book, you will be capable of designing and implementing fully autonomous AI systems where multiple agents collaborate intelligently to execute complex workflows and decision-making processes at scale.