Lunch & Networking

We’ll set the stage for why learning these tools matter for you and your business.

Create a sophisticated Baseball Scout AI agent that analyzes MLB matchups using the Google Agent Development Kit (ADK) and deploy it as a production-ready service on Cloud Run. You will learn:

• Google ADK Fundamentals: Master the code-first development workflow of Google's Agent Development Kit for building sophisticated AI agents
• Google MCP Toolbox: Deploy and use Google's Model Context Protocol toolbox as a microservice to provide secure, scalable data access to your agents
• Multi-Tool Integration: Combine BigQuery analytics with live MLB API data using both MCP services and custom function tools
• Production Deployment: Deploy your agent to Cloud Run with enterprise-grade scaling, monitoring, and API access
• Gemini Integration: Leverage Google's latest Gemini models for natural language understanding and generation
• Full-Stack AI Applications: Build a complete web interface using Streamlit to showcase your agent's capabilities

By the end of this session, you'll have built and deployed an intelligent agent capable of providing detailed pitcher-batter matchup analysis between two MLB teams.

This session will focus on translating agentic AI’s potential into tangible value. We will move beyond the "what if" and focus on the "how to," providing a structured framework to take your chosen use case from the lab environment to a live, value-generating pilot within the next 30 to 60 days. We will address the key operational, technical, and strategic hurdles to ensure your first Agentic AI initiative is a measurable success. You’ll hear how MLB leverages AI and Google Cloud to analyze vast amounts of data and create personalized fan experiences. MLB processes over 25 million data points per game for real-time statistics, powering their Statcast system, and delivers customized content recommendations, leading to increased fan engagement and app ratings.

Join us for drinks & light bites and photos with the Dodgers World Series trophy!

This session will focus on translating agentic AI’s potential into tangible value. We will move beyond the "what if" and focus on the "how to," providing a structured framework to take your chosen use case from the lab environment to a live, value-generating pilot within the next 30 to 60 days. We will address the key operational, technical, and strategic hurdles to ensure your first Agentic AI initiative is a measurable success. You’ll hear how MLB leverages AI and Google Cloud to analyze vast amounts of data and create personalized fan experiences. MLB processes over 25 million data points per game for real-time statistics, powering their Statcast system, and delivers customized content recommendations, leading to increased fan engagement and app ratings.

Join us for drinks & light bites and photos with the Dodgers World Series trophy!