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 Datastore: Qwik Start
This hands-on lab will show you how to store and query data in Google Cloud Datastore using the Google Cloud Platform.
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Lab Featured Modular Load Balancing with Terraform - Regional Load Balancer
This lab will demonstrate how to use the Regional Load Balancer GCP Terraform modules for setting up various load balancers.
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Lab Featured Employing Best Practices for Improving the Usability of LookML Projects
In this lab, you learn how to improve the usability and sustainability of LookML projects.
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Lab Featured Build a Serverless App with Cloud Run that Creates PDF Files
In this lab you will build a PDF converter web app on Cloud Run, a serverless service, that automatically converts files stored in Cloud Storage into PDFs stored in segregated folders.
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Lab Featured Explore an Ecommerce Dataset with SQL in BigQuery
In this lab, you learn how to use BigQuery to find data, query the data-to-insights public dataset, and write and execute queries.
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Lab Featured Get Started with Pub/Sub: Challenge Lab
This challenge lab tests your understanding of Cloud Pub/Sub and Cloud Scheduler.
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Lab Featured Getting started with Flutter Development
Build and edit a Hello World Flutter application using a Code Server development enviornment.
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Lab Featured Google Kubernetes Engine: Qwik Start
Google Kubernetes Engine provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. This hands-on lab shows you how deploy a containerized application with Kubernetes Engine.