Exploration of multi-agent architectures and coordination.
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Speaker
Annie Wang
25
talks
Developer Relations Engineer at Google Cloud.
Bio from: (External RSVP) AI Agent Learning Series with Google (Virtual) - EP 1
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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.
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.
Foundations with ADK
Foundations with ADK — first session in a five‑session series on AI agents focusing on ADK, MCP and A2A; includes theory and live coding.
FastMCP & Tool Integration: exploring FastMCP and tool integration patterns for AI agents.
FastMCP & Tool Integration — second session focusing on MCP and tool integration within AI agents; theory and live coding.
FastMCP & Tool Integration
Hierarchical Agents & Orchestration: structuring agents with hierarchical control and orchestration patterns.
Hierarchical Agents & Orchestration — third session on agent hierarchy and orchestration.
Hierarchical Agents & Orchestration
Deploying to Vertex AI Agent Engine — fourth session covering deployment to Vertex AI Agent Engine.
Deploying to Vertex AI Agent Engine
Deploying to Vertex AI Agent Engine: deploying AI agents on Google Cloud Vertex AI Agent Engine.
Multi-Agent Systems & A2A Protocol — final session on multi-agent systems and A2A protocol.
Multi-Agent Systems & A2A Protocol
Multi-Agent Systems & A2A Protocol: coordinating multiple agents using the A2A protocol.
Episode 2 of 5 focusing on FastMCP and tool integration.