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 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection 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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Atelier Sélection Getting started with Flutter Development
Build and edit a Hello World Flutter application using a Code Server development enviornment.
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Atelier Sélection Get Started with Pub/Sub: Challenge Lab
This challenge lab tests your understanding of Cloud Pub/Sub and Cloud Scheduler.
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Atelier Sélection 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.
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Atelier Sélection Exploring NCAA Data with BigQuery
Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.