Join Google Cloud Labs for an immersive, hands-on workshop designed to deliver the practical skills and architectural patterns needed to bridge the gap between traditional data analytics and the new frontier of Agentic AI. Space is limited so be sure to sign up quickly!

This hands-on workshop delivers the practical skills and architectural patterns needed to bridge the gap between traditional data analytics and the new frontier of Agentic AI.

This is not a lecture! You'll spend the day with Google engineers who will guide you through a series of live labs. You’ll build governed pipelines with Spark and Knowledge Catalog, unlock multimodal analytics using GenAI in BigQuery, and scale vectorized search with AlloyDB. Finally, we'll bring these pieces together using BigQuery Graph and ADK (Agent Development Kit) to build agentic workflows powered by your data.

Note: To participate, you must bring your own laptop and power cable. The activities require a laptop and cannot be completed on a tablet or phone. 

Who Should Attend?

Whether you're a Data Analyst, Engineer, or Data Scientist, we welcome all practitioners responsible for building the platforms that power AI. We recommend this workshop for anyone with a strong data foundation who wants to dive deeper into applied AI.

What You Will Learn:

• Master Governed Data Ingestion: Build a unified data layer with BigQuery and Knowledge Catalog across multi-cloud sources.

• Architect Multimodal Intelligence: Use Gemini in BigQuery to extract insights from unstructured data like images and logs directly in your warehouse.

• Scale Vector Search: Deploy AlloyDB AI to find anomalies in massive datasets with sub-second latency.

• Engineer Agentic Workflows: Build autonomous AI agents using the ADK and MCP to move from dashboards to action.

• Uncover Hidden Relationships: Use BigQuery Graph analytics to map complex networks and find hidden links.

• Optimize Data Operations: Right-size your environment to cut costs and latency for performant AI apps.