Google Cloud Labs: Build an AI Agent with MLB

Join us for a unique ballpark experience

Step into the dugout of AI agent development during this exclusive experience at Daikin Park!

March 19, 2026

11:30 AM–6:30 PM CST

501 Crawford St

Houston, TX 77002

Hear from Google experts on how they’re partnering with organizations to translate agentic AI’s potential into tangible value. We’ll dive into how Major League Baseball (MLB) is putting AI to work to bring fans closer to the game by creating personalized, engaging experiences for fans and helping teams better understand the possibilities within their data.


Get hands on with technology where you will build an intelligent agent with real-time data access, deploy it to the cloud, and create a polished web interface for users to interact with your AI assistant.


**Prerequisites: To get the most from this hands-on workshop, participants should be comfortable with exploring Python code, web APIs, running scripts and commands at the command-line/terminal, exploring SQL queries

Developer Hands-on Lab Workshop Agenda

11:30 AM–12:30 PM

Arrival

Lunch & Networking

12:30 PM–12:45 PM

Welcome & Introduction

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

12:45 PM–2:00 PM

Agentic AI in Action-Build your MLB Analytics Agent (hands-on lab workshop)

Create a sophisticated Baseball 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.

2:00 PM–2:15 PM

Break

2:15 PM–3:30 PM

Hands-on Lab continues

3:30 PM–4:15 PM

Google Cloud AI in action: From use case to production + insights from MLB

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.

4:30 PM–6:30 PM

Happy hour on the field & Daikin Park tour

Join us for drinks, light bites, and a unique experience

Register for the event

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