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.
732 results
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Lab Featured Using BigQuery Omni with AWS
In this lab, you will run BigQuery analytics on data stored in AWS S3 using BigQuery Omni.
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Lab Featured A Tour of Google Cloud Sustainability
In this hands-on lab, you will learn why Google Cloud is the cleanest cloud in the industry by exploring and utilizing sustainability tools..
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Lab Featured Develop No-Code Chat Apps with AppSheet
In this lab, you'll use AppSheet to create a no-code app for Google Chat.
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Lab Featured Analyzing Movie Posters in BigQuery with Remote Models
In this lab, you learn how to use BigQuery Machine Learning for inference with remote models (Gemini AI models) to Analyze Movie Posters. BigQuery Machine Learning for inference lets you create and run machine learning (ML) models by using GoogleSQL queries.
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Lab Featured Export Data from Google Earth Engine to BigQuery
In this lab, you will learn how to export data from Google Earth Engine to BigQuery using the Earth Engine Code Editor.
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Lab Featured Build a Multi-Modal GenAI Application: Challenge Lab
This challenge lab evaluates your understanding of Google's Vertex AI SDK for integrating generative AI models to build an Image generator app, and an app which enables you to ask questions about images and receive insightful text-based responses.
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Lab Featured BigQuery Soccer Data Analysis
Learn the fundamentals of writing and executing queries to query soccer data stored in BigQuery tables.
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Lab Featured Arcade Hero: Enter the Artifact Registry Policy
Arcade Hero: Artifact Registry Level One
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Lab Featured BigQuery Soccer Data Ingestion
Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.