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所在平台: Udemy |
课程主页: https://www.udemy.com/course/agent2agent-a2a-protocol-fundamentals/
课程评论：没有评论
课程名称：Agent2Agent (A2A) 协议基础 课程概述：Agent2Agent (A2A) 协议正在彻底改变智能系统之间的协作方式，本课程为您提供了前瞻性的AI未来视角。无论您是开发者、研究人员，还是AI爱好者，课程将带您了解A2A协议的基础知识，以及它如何使多个大型语言模型（LLM）代理能够更高效地通信、协作和完成任务。课程设计注重清晰和实用，您将探索Google如何在Bard、Gemini和PaLM等技术中使用A2A的真实案例。 课程内容涵盖： - A2A系统概述和代理设计原则 - Gemini和Bard如何进行代理协作的分析 - 有关代理链、记忆和任务委派的实用见解 - 图形、分析和可下载的示例图 - 附加：多代理AI术语词汇表 最终，您将深入了解Agent2Agent协议如何使智能、模块化的AI系统可扩展，并掌握在自己的工具或研究中应用这些原则所需的知识。无需先前的基于代理系统经验，仅需对人工智能的下一前沿保持浓厚兴趣。
The Agent2Agent (A2A) Protocol is revolutionizing how intelligent systems work together and this course gives you a front-row seat to the future of AI.Whether you're a developer, researcher, or AI enthusiast, this course walks you through the foundations of the A2A protocol and how it enables multiple large language model (LLM) agents to communicate, collaborate, and complete tasks more efficiently. Designed with clarity and practicality in mind, you'll explore real-world examples of how Google uses A2A in technologies like Bard, Gemini, and PaLM.We'll start with the big picture what A2A is, why it matters, and how it fits into the evolution of AI agents. Then, we'll break it down into core components: agent architecture, messaging layers, task routing, shared memory systems, and orchestration techniques. Along the way, you'll gain hands-on knowledge to begin working with A2A-like systems in your own LLM workflows.This course includes:A2A system overview and agent design principlesBreakdown of how Gemini and Bard use agent collaborationPractical insights on agent chaining, memory, and task delegationVisuals, breakdowns, and downloadable diagramsExtra: A glossary of multi-agent AI termsBy the end, you'll have a deep understanding of how Agent2Agent protocols enable scalable, intelligent, and modular AI systems and how to apply those principles in your own tools or research.No prior agent-based system experience needed just a strong interest in the next frontier of artificial intelligence.
