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 Creating Date-Partitioned Tables in BigQuery
In this lab, you learn how to query and create partitioned tables to improve query performance and reduce resource usage.
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Lab Featured Getting Started with BigQuery ML
In this lab, you learn how to use BigQuery to create a machine learning model that predicts whether a visitor will make a transaction.
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Lab Featured Check Point: Next-Gen Data Center Security CloudGuard for Google Cloud
In this lab you will learn how to deploy a basic day-to-day scenario with CloudGuard in place
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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 Designing and Querying Bigtable Schemas
In this lab, you explore a Bigtable instance and use the Bigtable CLI (cbt CLI) to query data in Bigtable. You also design a table schema and row key using best practices for Bigtable.
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Lab Featured Classify Images of Clouds in the Cloud with AutoML Images
AutoML Images helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).
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Lab Featured Google Cloud Storage - Bucket Lock
In this lab, you learn how to use Google Cloud Storage Bucket Lock to manage object retention.