解读Google最新发布的AI协议--Agent2Agent（A2A） | 澳洲IT

在人工智能和多智能体系统（Multi-Agent Systems）迅速发展的背景下，智能体（Agent）之间如何实现高效、稳定的通信协作，成为系统架构设计的关键挑战。由澳洲匠人学院（JR Academy）主办的线上公开课《解读 Agent2Agent (A2A) 架构与应用》，旨在深入探讨这一前沿话题。 本次公开课将由资深软件工程师 Amber 主讲，内容涵盖 A2A 架构的核心概念、与传统 Model Contextual Protocol（MCP）的区别、A2A 的关键特性（如弹性、可扩展性、自主决策能力和异步通信机制），以及其在推荐系统、客服机器人和多机器人系统中的实际应用案例。 通过本次课程，参与者将系统了解 A2A 架构，掌握其在现代智能系统中的应用价值，并能够与讲师进行互动交流，拓宽工程视野。课程特别适合对系统架构设计感兴趣的前后端开发者、希望提升对智能体协同通信理解的技术人员，以及关注 AI、Agent、MLOps 等领域的技术爱好者。 In the rapidly evolving landscape of artificial intelligence and multi-agent systems, efficient and stable communication among agents has become a pivotal challenge in system architecture design. JR Academy's online open class, "Understanding Agent2Agent (A2A) Architecture and Applications," aims to delve into this cutting-edge topic. Led by experienced software engineer Amber, the session will cover the core concepts of A2A architecture, distinctions from traditional Model Contextual Protocol (MCP), key features of A2A such as resilience, scalability, autonomous decision-making, and asynchronous communication mechanisms, as well as real-world applications in recommendation systems, customer service bots, and multi-robot coordination. Participants will gain a comprehensive understanding of A2A architecture, its value in modern intelligent systems, and have the opportunity to engage directly with the instructor to broaden their engineering perspectives. This course is particularly suitable for front-end and back-end developers interested in system architecture design, technical professionals seeking to enhance their understanding of agent collaboration, and enthusiasts in AI, Agent systems, and MLOps.