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 Tagging Dataplex Assets
This lab shows you how to get started with tagging Dataplex assets to support data governance and discovery.
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Lab Featured Creating Dynamic Secrets for Google Cloud with Vault
In this hands-on lab, you will learn how to create dynamic secrets in Vault.
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Lab Featured Cloud Functions: Qwik Start - Console
This hands-on lab shows you how to create and deploy a Cloud Function using the Cloud Platform Console. Watch the short video Connect & Extend GCP Services with Google Cloud Functions.
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Lab Featured Explore and Evaluate Models using Model Garden
In this lab, you explore and evaluate AI models using Model Garden.
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Lab Featured Creating a Looker Modeled Query and Working with Quick Start
In this lab you will learn how to use the query parameter to create a modeled query for an Explore.
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Lab Featured Configure Service Accounts and IAM for Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Configure Service Accounts and IAM for Google Cloud quest. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Creating PDFs with Go and Cloud Run
Learn how to develop an application to create PDFs on Google Cloud using Serverless technologies and Go.
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Lab Featured Orchestrating the Cloud with Kubernetes
In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine, deploy and manage Docker containers using kubectl, and break an application into microservices using Kubernetes' Deployments and Services.
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Lab Featured Google Kubernetes Engine Pipeline using Cloud Build
Create a CI/CD pipeline that automatically builds a container image, stores the image in Artifact Registry, updates a Kubernetes manifest in a Git repository, and deploys the application to Google Kubernetes Engine.