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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1078 results

  1. 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.

  2. Lab Featured

    Introduction to Convolutions with TensorFlow

    A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it!

  3. Lab Featured

    BigQuery Soccer Data Analytical Insight

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

  4. Lab Featured

    Arcade Hero: Enter the Artifact Registry Go

    Arcade Hero: Artifact Registry Level One

  5. 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.

  6. Lab Featured

    Arcade Hero: Enter the Artifact Registry YUM

    Arcade Hero: Artifact Registry Level One

  7. Lab Featured

    Arcade Hero: Enter the Artifact Registry APT

    Arcade Hero: Artifact Registry Level One

  8. Lab Featured

    Arcade Hero: Enter the Artifact Registry Python

    Arcade Hero: Artifact Registry Level One

  9. Lab Featured

    Monitoring and Managing Bigtable Health and Performance

    In this lab, you monitor disk and CPU usage in a Bigtable instance, update an existing cluster to apply node autoscaling, implement replication in an instance, and back up and restore data in Bigtable.

  10. Lab Featured

    Deploying a Multi-Cluster Gateway Across GKE Clusters

    Learn how to enable, use, and deploy the multi-cluster Google Kubernetes Engine (GKE) Gateway controller