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Topic

gemini models

6

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2020-Q1 2026-Q1

Activities

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Introduction to Google AI Developer Kit (ADK) and Gemini models; setting up the environment and connecting to Google AI Studio APIs; example: deploying an agent using ADK tools for retrieval and tool integration; optional track for participants interested in Google’s ecosystem; mentors assist others starting on different frameworks (e.g., LangChain or CrewAI).

Introduction to Google AI Developer Kit (ADK) and Gemini models; Setting up the environment and connecting to Google AI Studio APIs; Example: Deploying an agent using ADK tools for retrieval and tool integration; Optional track for participants interested in Google’s ecosystem; Mentors assist others starting on different frameworks (e.g., LangChain or CrewAI).

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.