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 Streaming Analytics into BigQuery: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Streaming Analytics into BigQuery quest. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Optimizing Cost with Google Cloud Storage
In this lab you will configure Cloud Monitoring to observe bucket object access and deploy a Cloud Function to migrate objects from a Regional bucket to a Nearline bucket.
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Lab Featured Creating Cross-region Load Balancing
This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.
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Lab Featured Leverage the Autoscaler Tool for Cloud Spanner to Achieve Workload Elasticity
In this lab you'll deploy the open-source Autoscaler tool for Cloud Spanner, a companion tool to Cloud Spanner, in the per-project configuration where the autoscaler tools are located in the same project as the Cloud Spanner instance being autoscaled.
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Lab Featured Migrate to Cloud SQL for PostgreSQL using Database Migration Service
In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to Cloud SQL for PostgreSQL using a continuous Database Migration Service job and VPC peering for connectivity.
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Lab Featured Manage a partitioned table in BigQuery
Manage a partitioned table and use filters to reduce data examined in BigQuery
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Lab Featured Exploring Cost-optimization for GKE Virtual Machines
In this hands-on lab, you'll learn how to determine and select the the most cost effective machine type for a GKE application. You will also explore the pros and cons of a multi-zonal cluster.
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Lab Featured Analyze Customer Reviews with Gemini Using SQL
Learn how to use BigQuery Machine Learning with remote models (Gemini) to analyze customer reviews using SQL.
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Lab Featured Uptraining with Document AI Workbench
In this lab, you will will create an Invoice Parser processor, configure the processor for uptraining, label example documents, and uptrain the processor.