The era of isolated LLMs is over. To become truly productive, modern AI agents must securely access real-time data and execute actions on external systems. This 1-hour session provides a complete guide to building and deploying this advanced pattern: connecting an ADK Agent to external capabilities via the MCP Server, all running on the highly scalable and serverless platform, Google Cloud Run.
We'll take you through the entire lifecycle, from setting up the environment to containerizing both the ADK Agent (the client) and the MCP Server (the tool provider). You'll learn how to leverage MCP to standardize how your agent requests external tools and data, transforming it from a simple chatbot into a powerful, action-taking entity.
In this webinar, you'll learn how to leverage Google's cutting-edge tools—Agent Development Kit (ADK), Veo 3, and Nano Banana—to create sophisticated generative video agents. We'll show you how to build a unified workflow that combines the strengths of each platform, from generating hyper-realistic 3D assets to producing dynamic, cinematic video content. By the end of this session, you'll have the knowledge to build intelligent agents that can automate the entire video production pipeline, opening up new possibilities for creative storytelling, marketing, and more.
Master the complete lifecycle of modern AI in this intensive 3-part series. From constructing grounded agents with the Agent Development Kit (ADK) and Model Context Protocol (MCP) to orchestrating complex Multi-Agent Systems (MAS) via the A2A protocol, you will learn the code-first architectures defining the next generation of AI. Finally, go beyond local prototypes by learning how to deploy, manage, and scale your agents globally on the Vertex AI Agent
Agentic systems are emerging as a key paradigm in how we design intelligent applications that can reason, act, and adapt in dynamic environments. In this interactive workshop, Paige Bailey will introduce the foundational concepts behind agentic systems and demonstrate how to build them using CrewAI and Google’s Gemini APIs in Google Colab.
Through accessible, hands-on examples, attendees will learn how to structure basic agent workflows, call language models via API, and begin thinking about agent-based application design. This session is ideal for those new to the agentic AI landscape.
