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 Orchestrating the Cloud with Kubernetes (AWS)
In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes Deployments and Services.
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Lab Featured Generative AI: Database Engineer Revision
Arcade chatbot lab to learn about the Professional Database Engineer
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Lab Featured Cloud SQL for PostgreSQL: Qwik Start
Create a Google Cloud SQL PostgreSQL instance. Perform SQL operations using the GCP Console and the psql client.
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Lab Featured Dialogflow CX: Enable IVR Features for your Voice Agent
Build a conversational agent that include IVR features that Dialogflow CX provides.
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Lab Featured Deploy, Scale, and Update Your Website on Google Kubernetes Engine
Deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.
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Lab Featured Analyze BigQuery Usage with Log Analytics
Use Log Analytics for in-depth usage logs analysis through SQL querires from the Cloud Logging page.
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Lab Featured Using the Google Cloud Speech API: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Using the Google Cloud Speech API quest. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Get Started with Eventarc: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Get Started with Eventarc quest. You should be familiar with the content of labs before attempting this lab.
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Lab Featured Monitoring and Managing Bigtable Health and Performance
In this lab, you monitor disk and CPU usage in a Bigtable instance, update an existing cluster to apply node autoscaling, implement replication in an instance, and back up and restore data in Bigtable.