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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  1. Lab Featured

    Managing Relationships with Foreign Keys and Interleaved Tables

    In this lab, you create a database with multiple tables, and use both primary-foreign key contraints and interleaved tables to manage relationships.

  2. Lab Featured

    Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)

    In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).

  3. Lab Featured

    Cloud Logging on Kubernetes Engine

    In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.

  4. Lab Featured

    Creating Spanner Instances and Databases (CLI and Terraform)

    In this lab, you automate the creation of Spanner instances and databases using the Google Cloud SDK, the Command Line Interface (CLI), and Terraform.

  5. Lab Featured

    Implement CI/CD Pipelines on Google Cloud: Challenge Lab

    This lab will challenge you to create a CI/CD pipeline, deploy an application to GKE, and rollback that deployment.

  6. Lab Featured

    Managing Deployments Using Kubernetes Engine

    Dev Ops best practices make use of multiple deployments to manage application deployment scenarios. This lab provides practice in scaling and managing containers to accomplish common scenarios where multiple heterogeneous deployments are used.

  7. Lab Featured

    Analyzing Natality Data Using BigQuery and Vertex AI

    In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Vertex AI. This lab is part of a series of labs on processing scientific data.

  8. Lab Featured

    Managing Environments with Dialogflow CX

    In this lab, you'll explore Managing Environments with Dialogflow.

  9. Lab Featured

    De-identifying DICOM Data with the Healthcare API

    Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.

  10. Lab Featured

    Monitoring and Logging for Cloud Functions

    Use Cloud Monitoring to view Cloud Functions details in the Google Cloud console, and Cloud Logging to look at the data for your cloud function.