The Databricks Data Intelligence Platform democratizes data and AI across your organization by unifying all data, analytics, and AI workloads on a single, open platform built on lakehouse architecture. It delivers secure, governed, and seamless data management and analytics — enabling organizations to modernize data estates, break down data silos, and accelerate time to value. With tight native integration to Google Cloud’s AI-first infrastructure (including Vertex AI and Gemini), Databricks supports rapid development and deployment of generative AI and machine learning applications.
Join Databricks and Google Cloud for a live, virtual workshop to learn best practices for implementing a complete data and AI lifecycle — including data engineering, data analytics, and machine learning — on lakehouse architecture with Databricks on Google Cloud.
This live, virtual hands-on lab will teach you how to:
- Unify and analyze all your data structured, semi-structured, unstructured — with the Databricks Data Intelligence Platform on Google Cloud
- Use Databricks SQL and Looker to create governed, real-time dashboards and self-service analytics in your lakehouse environment
- Build and deploy machine learning and generative AI models with Databricks, Google Cloud Vertex AI, and Gemini
- Track experiments and tune hyperparameters with MLflow, Unity Catalog, and Google Cloud security
- Serve and monitor models end-to-end with MLflow and other Google Cloud AI services