On-Demand-Aktivitäten
Hier finden Sie die für Sie richtigen On-Demand-Lernaktivitäten. Labs sind kurze Lernaktivitäten, in denen Ihnen über einen direkten, temporären, praxisorientierten Zugriff auf echte Cloud-Ressourcen spezifische Inhalte vermittelt werden. Kurse sind längere Aktivitäten, die aus mehreren Modulen mit Videos, Dokumenten, praxisorientierten Labs und Quizaufgaben bestehen. Aufgabenreihen sind ähnlich, aber in der Regel kürzer und enthalten nur Labs.
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Lab Tipp Visualizing Billing Data with Looker Studio
In this lab, you will harness the power of Looker Studio, where you will learn how to build billing graphs and charts so you can slice and dice your Google Cloud bill the way you want.
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Lab Tipp Looker Developer: Qwik Start
In this lab, you learn about the fundamental LookML structures, create a view, and join the new view to an existing Explore.
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Lab Tipp Tag and Discover BigLake Data: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Tag and Discover BigLake Data course. You should be familiar with the content of labs before attempting this lab.
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Lab Tipp 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 Tipp Finding Data in Google Sheets
Finding specific content in large spreadsheets can be tricky. Learn to manipulate, search and substitute values in Google Sheets.
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Lab Tipp Generative AI: Associate Cloud Engineer Revision
Arcade chatbot lab to learn about the Associate Cloud Engineer
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Lab Tipp Speech to Text Transcription with the Cloud Speech API
The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.
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Lab Tipp Orchestrating the Cloud with Kubernetes (Azure)
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.