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Get the 20-minute product briefing on Gemini Enterprise for Customer Experience, Vertex AI, and more.   February 5, 2026

Discover how BigQuery ML democratizes machine learning by letting you build models where your data lives. This webinar dives into a serverless approach that eliminates infrastructure management, allowing you to focus on results. You'll learn how to perform model training using standard SQL—removing the need for complex data movement or separate ML pipelines. We will demonstrate real-world use cases for predictive analytics, including customer churn and demand forecasting.

Roll up your sleeves and construct a layered security strategy for multi-agent applications on Google Cloud Run. This session (and it's associated lab) will show you how to build and configure least-privilege permissions so your agents only talk to what they're supposed to with IAM service accounts. You'll deploy an MCP server to a private Cloud Run instance that only allows authenticated access from the agent and implement input validation to harden AI agent tool calls using Model Armor. This session will leave you with a practical framework for securing your own generative AI applications immediately.

Move past legacy limitations and establish a cost-efficient, hyper-scalable platform built for the future.

Learn how to build accurate, real-world aware AI applications by grounding Gemini models with Google Search and Google Maps in Vertex AI. This webinar is ideal for: anyone looking to understand how Google Cloud AI can fast track AI adoption and help achieve their business goals. Level of expertise: intermediate. *Special learning offer: receive 300 free credits to access Google Skills labs and earn Skills Badges upon completion.