True enterprise AI demands collaboration between agents. The Google Cloud team introduces MAS and A2A Protocol, an open standard for seamless AI agent communication. A2A provides a universal language for agents to discover capabilities, delegate tasks, exchange content, and manage complex workflows securely. We'll discuss the Agent Development Kit (ADK), Google Cloud's open-source framework for building sophisticated MAS, integrating with A2A. We'll show how Google Cloud empowers developers to build modular, scalable agentic applications, leveraging Gemini models and Vertex AI, and integrating with enterprise data.
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True enterprise AI demands collaboration between agents. The Google Cloud team will introduce Multi-Agent Systems (MAS) and the Agent-to-Agent (A2A) Protocol, an open standard for seamless AI agent communication. A2A provides a universal language for agents to discover capabilities, delegate tasks, exchange diverse content, and manage complex workflows securely. We'll discuss the Agent Development Kit (ADK), Google Cloud's open-source framework for building sophisticated MAS, integrating with A2A. We'll show how Google Cloud empowers developers to build modular, scalable agentic applications, leveraging Gemini models and Vertex AI, and integrating with enterprise data. Join us to learn how A2A, combined with Google Cloud's AI ecosystem, is accelerating multi-agent intelligence, enabling smarter automation and unprecedented productivity.
True enterprise AI demands collaboration between agents. The Google Cloud team will introduce Multi-Agent Systems (MAS) and the Agent-to-Agent (A2A) Protocol, an open standard for seamless AI agent communication. A2A provides a universal language for agents to discover capabilities, delegate tasks, exchange diverse content, and manage complex workflows securely. We’ll discuss the Agent Development Kit (ADK), Google Cloud’s open-source framework for building sophisticated MAS, integrating with A2A. We’ll show how Google Cloud empowers developers to build modular, scalable agentic applications, leveraging Gemini models and Vertex AI, and integrating with enterprise data. Join us to learn how A2A, combined with Google Cloud’s AI ecosystem, is accelerating multi-agent intelligence, enabling smarter automation and unprecedented productivity.
True enterprise AI demands collaboration between agents. The Google Cloud team will introduce Multi-Agent Systems (MAS) and the Agent-to-Agent (A2A) Protocol, an open standard for seamless AI agent communication. A2A provides a universal language for agents to discover capabilities, delegate tasks, exchange diverse content, and manage complex workflows securely. We'll discuss the Agent Development Kit (ADK), Google Cloud's open-source framework for building sophisticated MAS, integrating with A2A. We'll show how Google Cloud empowers developers to build modular, scalable agentic applications, leveraging Gemini models and Vertex AI, and integrating with enterprise data.
Episode 4 of 5 on deploying tools and agents to Vertex AI Agent Engine.
Episode 4: Deploying to Vertex AI Agent Engine.
Foundations with ADK: an introduction to building AI agents using ADK, covering fundamental concepts, architecture, and best practices.
Deploying to Vertex AI Agent Engine: deploying AI agents on Google Cloud Vertex AI Agent Engine.