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 Validate Data in Google Sheets
Ensure that your data is valid and prepared for analysis using Google Sheets features and functions to organize, standardize, and clean data.
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Lab Featured Clean Up Unused and Orphaned Persistent Disks
In this lab you will schedule a Cloud Function to identify and clean up unused and orphaned persistent disks.
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Lab Featured APIs Explorer: Compute Engine
Use the APIs Explorer to create a Compute Engine instance, then use Cloud monitoring to monitor the CPU usage.
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Lab Featured Implement the User Experience for your AppSheet App
In this lab, you will use AppSheet to implement the UX components in your app.
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Lab Featured Smart Canvas: Smart Chips, Templates and Collaboration in Google Docs
In this lab, you use intelligent smart canvas features in Google Docs like smart chips and building blocks to assign tasks, track progress and collaborate across several Google Workspace apps.
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Lab Featured Build an End-to-End Data Capture Pipeline using Document AI
Use Cloud Functions and Pub/Sub to create an end-to-end document processing pipeline using Document AI.
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Lab Featured Deploy Kubernetes Applications on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Deploy Kubernetes Applications on Google Cloud course. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured APIs Explorer: App Engine
In this lab, you will get hands-on practice configuring and deploying an App Engine instance with the APIs Explorer tool.
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Lab Featured Exploring Dataset Metadata Between Projects with Data Catalog
In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.