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 Respond and recover from a data breach
Remediate a list of security issues based on a PCI compliance report
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Lab Featured CCAI | Testing and Logging in DF CX
In this lab, you'll explore testing and logging tools available for developing your virtual agent in Dialogflow CX.
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Lab Featured Getting Started with Gaming on Cloud Spanner
In this lab, you will implement a player profile service and a game matchmaking service to work with Cloud Spanner.
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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 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 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 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 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 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.
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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.