A practical guide to data science with Google Cloud

AI empowers data science teams to automate tasks, utilize unstructured data, and boost efficiency. This guide introduces data science workflows on Google Cloud with real-world use cases and code examples.

Learn to streamline workflows by building end-to-end pipelines on a unified data platform, integrating data and AI. Discover generative AI for vector search and multimodal analysis, and agentic AI for automating tasks.

Explore hands-on use cases like retail demand forecasting, environmental risk assessment, and customer segmentation. Get a walkthrough of BigQuery, Vertex AI, and other Google Cloud tools to simplify and scale data science projects.