Hands-on lab session continuing Part 1, containerizing and deploying the AI agent and validating GPU-accelerated deployment on Cloud Run.

Hands-on lab session focusing on building and securing production-ready services on Cloud Run, including setting up an MCP server and authentication.

Hands-On Lab (Part 1): Secure and deploy a Model Context Protocol (MCP) server and start integrating the Agent Development Kit (ADK) to empower an intelligent agent.

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.

Move beyond theoretical AI concepts and dive into building practical, production-ready AI agents in this intensive, hands-on workshop. We'll harness the power of Gemini 2.5, utilizing Google's latest open-source framework designed for building sophisticated single and multi-agent systems, Agent Development Kit (ADK).

What You Will Learn:

This workshop covers the full stack of agent development, from data integration to final deployment and runtime.

Develop with ADK: Learn to build modular, controllable agents using the ADK framework.

Enable Agent Collaboration: Implement sophisticated multi-agent workflows using the open Agent-to-Agent (A2A) protocol..

Deploy & Orchestrate: Transition your agents from development to production using flexible deployment strategies. We'll cover deploying and managing agents using Vertex AI Agent Engine, and Google Cloud Run. Learn to scale, manage, and ensure the reliability of your agent systems in the cloud.

Production Focus: Understand the complete lifecycle, including packaging agents, deploying them reliably on Google Cloud.

Introduce Observability: Briefly cover essential concepts for monitoring your production agents

By the end of this workshop, you'll have practical experience building and orchestrating multi-agent systems using Google's cutting-edge AI technologies, preparing you to implement real-world, production-grade AI solutions.