A deep dive into building a cost-optimized, multi-tenant platform for generating diverse multimedia content, including text, images, 2D/3D models, and audio. Explore Intelligent GPU Allocation, Decoupled Workloads and Granular Resource Sharing.

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.

Talk: A live, end-to-end demo of wiring an open-source vision-language model (SmolVLM) into Vertex AI - with a lightning primer on what Vertex AI is, which quotas matter (GPUs), and how to pick the right model tier for your latency x cost sweet spot. We’ll then drive that endpoint from a Firebase web app that streams camera frames and spits back analytics in milliseconds - real-time video AI minus the heavyweight MLOps baggage. Target Audience: Cloud and DevOps engineers, full-stack developers, AI-ML hobbyists, and startup builders already shipping (or keen to ship) on GCP who want a pragmatic path to weaving generative/computer-vision AI into their products and pipelines. Takeaways: A checklist for matching model size/tier to performance and budget. A lightweight pattern for streaming video to that endpoint via Firebase and turning frames into instant insights.

Episode 4: Deploying to Vertex AI Agent Engine.

Episode 4 of 5 on deploying tools and agents 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.

Hands-on GenAI implementation workshop focusing on Vertex AI and Gemini models. Bring your own use case and learn Google's best practices for solving real-world challenges using Google Cloud's advanced AI tools.

Gemini 2.0 and 2.5 workshop exploring multimodal app development with Google's Gen AI Python SDK, including real-time interactions, text-to-image generation, and prototyping-to-deployment pipelines.

Closing remarks for the event.

Hands-on lab exploring Agentic AI on Google Cloud (Part 2).

Hands-on lab exploring Agentic AI on Google Cloud (Part 1).

AI is the future, and Vertex AI is your ticket to ride. Join us for a hands-on journey through Google Cloud's cutting-edge AI platform. We'll start with the basics, then level up your skills with real-world use cases and code samples. By the end, you'll be equipped to build smarter apps, automate tasks, and unlock the full potential of AI for your projects.

Tech Talk: Getting real with Vertex AI — A hands-on journey through Google Cloud's Vertex AI with real-world use cases and code samples.

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.

In this session, you will learn how you can leverage Gemini's 2M context window and multimodal (text, image, audio & video) input to build a question-answering system for financial analysis. You will explore Vertex Gemini API, Vertex text-embeddings and Gemini's cross-modal reasoning capabilities.