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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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.