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 Implementing Security in Dataplex
This lab shows you how to implement security in Dataplex.
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Lab Featured Using Specialized Processors with Document AI (Python)
In this lab, you will learn how to use Document AI Specialized Processors to classify and parse specialized documents with Python.
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Lab Featured Streamlining Wildlife Image Classification in BigQuery with an Imported Model
In this lab, you learn how to streamline an image classification workflow in BigQuery using an imported model (PyTorch model created in ONNX format), and Google SQL queries.
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Lab Featured Build a Resilient, Asynchronous System with Cloud Run and Pub/Sub
Use Cloud Run and Pub/Sub to run a service that manages communication through HTTP POST, email, and SMS.
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Lab Featured Getting Started with Cloud Shell and gcloud
In this hands-on lab you will learn how to connect to computing resources hosted on Google Cloud Platform, and how to use Cloud Shell and Cloud SDK gcloud commands. For a preview, watch the short video Get Started with Cloud Shell, GCP Essentials.
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Lab Featured Set Up an App Dev Environment on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Perform Foundational Infrastructure Tasks in Google Cloud skill badge. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Cloud Functions: 3 Ways: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Cloud Functions: 3 Ways quest. You should be familiar with the content of labs before attempting this lab.
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Lab Featured 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.
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Lab Featured Securing Google Cloud with CFT Scorecard
CFT Scorecard is a utility you can combine with Forseti policies to check for violations in your Google Cloud environment.