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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1186 results
  1. Lab Featured

    Create a Component Anomaly Detection Model using Visual Inspection AI

    In this lab, you will learn how to create a component anomaly detection model using Visual Inspection AI.

  2. Lab Featured

    Generative AI: Go French

    Arcade chatbot lab to learn about French

  3. Lab Featured

    App Engine: Qwik Start - PHP

    This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.

  4. Lab Featured

    Apply RFM method to segment customer data

    Apply RFM Method in BigQuery

  5. Lab Featured

    Generative AI: Go Portuguese

    Arcade chatbot lab to learn about Portuguese

  6. Lab Featured

    Designing and Querying Bigtable Schemas

    In this lab, you explore a Bigtable instance and use the Bigtable CLI (cbt CLI) to query data in Bigtable. You also design a table schema and row key using best practices for Bigtable.

  7. Lab Featured

    Classify Images of Clouds in the Cloud with AutoML Images

    AutoML Images helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

  8. Lab Featured

    Analyzing Movie Posters in BigQuery with Remote Models

    In this lab, you learn how to use BigQuery Machine Learning for inference with remote models (Gemini AI models) to Analyze Movie Posters. BigQuery Machine Learning for inference lets you create and run machine learning (ML) models by using GoogleSQL queries.

  9. Lab Featured

    Creating Date-Partitioned Tables in BigQuery

    In this lab, you learn how to query and create partitioned tables to improve query performance and reduce resource usage.

  10. Lab Featured

    Creating Measures and Dimensions Using LookML

    In this lab, you build dimensions and measures in LookML and learn about different types of dimensions and measures that Looker supports.