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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1187 results
  1. Lab Featured

    Implement DevOps Workflows in Google Cloud: Challenge Lab

    This challenge labs tests your skills in implementing a CI/CD pipeline using Cloud Build, Cloud Source Repositories, and GKE.

  2. Lab Featured

    Provisioning an Apigee X Evaluation Organization

    In this lab, you use the Apigee X provisioning wizard to create an Apigee X evaluation organization (org).

  3. Lab Featured

    Monitor Cloud Run with Datadog

    In this lab, you will learn how to use Cloud Run with Datadog.

  4. Lab Featured

    Use Go Code to Work with Google Cloud Data Sources

    In this lab you explore the basics of Go (golang) by compiling and testing a Go app interactively, deploying it to App Engine, then access data in BigQuery and Firestore.

  5. Lab Featured

    Access a firewall and create a rule

    Manage firewall rules.

  6. Lab Featured

    Arcade Hero: Enter the PubSub

    Arcade Hero: PubSub Level One

  7. Lab Featured

    Flutter Startup Namer

    This lab walks you through writing your first Flutter app compatible for Android, iOS, and web.

  8. Lab Featured

    Generative AI with Vertex AI: Prompt Design

    This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.

  9. Lab Featured

    Creating a Data Transformation Pipeline with Cloud Dataprep

    Cloud Dataprep by Alteryx is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. In this lab, you explore the Dataprep user interface (UI) to build a data transformation pipeline.

  10. Lab Featured

    Model dimensions and measures using LookML

    Use Looker to create new measures and dimensions