On-demand activities
Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.
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Lab Featured App Engine: 3 Ways: Challenge Lab
This challenge lab tests your understanding of how to deploy a sample "hello world" application in the Google App Engine standard environment.
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Lab Featured Using gsutil to Perform Operations on Buckets and Objects
In this lab you will use gsutil to create a bucket, then perform operations on objects inside the bucket.
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Lab Featured Log Analytics on Google Cloud
In this lab you will learn how to use Cloud Logging to analyze your logs.
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Lab Featured Using Prometheus for Monitoring on Google Cloud: Qwik Start
Set up a Google Kubernetes Engine cluster, then deploy the Managed Service for Prometheus to ingest metrics from a simple application.
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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.
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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 Cloud Logging on Kubernetes Engine
In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.
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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 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.