Discover Google Cloud training your way

With 980+ learning activities to choose from, Google Cloud has designed our comprehensive catalog with you in mind. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs or multi-module courses that consist of videos, documents, labs, and quizzes. Our labs give you temporary credentials to actual cloud resources, so you can learn Google Cloud using the real thing. Earn badges for what you complete, define, track, and measure your success with Google Cloud!

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1037 results

  1. Lab Featured

    Online Data Migration to Cloud Spanner using Striim

    In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.

  2. Lab Featured

    Identify different batch and streaming data sources

    Differentiate between batch and streaming data sources, formats, and frequency

  3. Lab Featured

    Build a dashboard using the Looker Enterprise UI

    Explore in Looker Enterprise to do in-depth data analysis, integrate insights across different data sources, build actionable data-driven workflows, and create custom data applications to make critical business decisions.

  4. Lab Featured

    Model dimensions and measures using LookML

    Use Looker to create new measures and dimensions

  5. Lab Featured

    BigQuery Soccer Data Ingestion

    Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.

  6. Lab Featured

    BigQuery Soccer Data Analysis

    Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.

  7. Lab Featured

    BigQuery Soccer Data Analytical Insight

    Learn how to create deeper analytical insights from soccer event data using BigQuery.

  8. Lab Featured

    BigQuery Machine Learning using Soccer Data

    Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

  9. Lab Featured

    Explore a lakehouse

    Use a data lakehouse and combine data on GCS with BigQuery

  10. Lab Featured

    Using Specialized Processors with Document AI (Python)

    In this lab, you will learn how to use Document AI Specialized Processors to classify and parse specialized documents with Python.