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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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).
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Lab Featured Connect an App to a Cloud SQL for PostgreSQL Instance
In this lab, you create a Kubernetes cluster and deploy a simple application to that cluster. Then, you connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.
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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.
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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.
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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.
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Lab Featured Get Started with Google Workspace Tools: Challenge Lab
In this lab you will configure your Workspace as a group member.
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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.
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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.
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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.
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Lab Featured Using BigQuery and Cloud Logging to Analyze BigQuery Usage
In this lab you view the BigQuery logs inside Cloud Logging, set up a sink to export them back into BigQuery, and then use SQL to analyze the logs.