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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753 results
  1. Lab Featured

    Creating Cross-region Load Balancing

    This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.

  2. Lab Featured

    Dialogflow CX: Parameter Manipulation

    In this lab you will use regular expressions to do parameter validation (e.g., on a PNR Number) and reset parameters to null when the user starts a new flow of conversation.

  3. Lab Featured

    Leverage the Autoscaler Tool for Cloud Spanner to Achieve Workload Elasticity

    In this lab you'll deploy the open-source Autoscaler tool for Cloud Spanner, a companion tool to Cloud Spanner, in the per-project configuration where the autoscaler tools are located in the same project as the Cloud Spanner instance being autoscaled.

  4. Lab Featured

    Streaming Analytics into BigQuery: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Streaming Analytics into BigQuery quest. You should be familiar with the content of labs before attempting this lab.

  5. Lab Featured

    Migrate to Cloud SQL for PostgreSQL using Database Migration Service

    In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to Cloud SQL for PostgreSQL using a continuous Database Migration Service job and VPC peering for connectivity.

  6. Lab Featured

    Exploring Cost-optimization for GKE Virtual Machines

    In this hands-on lab, you'll learn how to determine and select the the most cost effective machine type for a GKE application. You will also explore the pros and cons of a multi-zonal cluster.

  7. Lab Featured

    Analyze Customer Reviews with Gemini Using SQL

    Learn how to use BigQuery Machine Learning with remote models (Gemini) to analyze customer reviews using SQL.

  8. Lab Featured

    Configure Device Settings for Users on ChromeOS

    In this lab, you'll configure device settings for Users on ChromeOS.

  9. Lab Featured

    Secure Software Supply Chain: Create and Use Cloud Workstations

    In this lab, you will use Cloud Workstations to create a workstation configuration and launch a new workstation instance from that configuration.

  10. Lab Featured

    Manage a partitioned table in BigQuery

    Manage a partitioned table and use filters to reduce data examined in BigQuery