Orchestrate Data Lifecycle Automation with Google Cloud Data Agents

This learning path is part of the Migrate, Modernize and Build with Data Cloud Priority Play. It shows you how to automate the entire data journey by using specialized AI agents and Gemini-powered tools. You will start by mastering data governance with Dataplex and learning to use Gemini to generate production-ready SQL, clean up messy datasets, and build out automated ETL pipelines. The path then dives into more advanced territory, where you will use the Data Science Agent in Colab Enterprise for feature engineering and the Data Governance Agent to automatically classify sensitive info. You will also get hands-on with Looker to build out complex data models and business logic, eventually learning how to develop and deploy custom agents using the Vertex AI Agent Engine. By the end, you'll be able to build sophisticated, grounded AI agents that can handle everything from multi-turn data analytics to optimizing database performance through code execution.

You can continue your learning journey on Migrate, Modernize and Build with Data Cloud curriculium by completing the other learning paths: Building a Multimodal Generative AI Pipeline with BigQuery, Modernizing Legacy Data Warehouses with BigQuery Migration Service and Building Cross-Platform AI Solutions with Cortex