On-demand activities
Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!
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实验 精选 App Dev: Storing Image and Video Files in Cloud Storage - Python
In this lab, you add images and video to an application. You store files as objects in a Cloud Storage bucket.
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实验 精选 Share Data using Google Data Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Share Data using Google Data Cloud course. Are you ready for the challenge?
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实验 精选 Cloud Functions: 3 Ways: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Cloud Functions: 3 Ways quest. You should be familiar with the content of labs before attempting this lab.
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实验 精选 Ingesting HL7v2 Data with the Healthcare API
In this lab you will discover and use the basic functionality of Cloud Healthcare API using HL7v2 messages.
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实验 精选 Web Security Scanner: Qwik Start
Web Security Scanner identifies security vulnerabilities in your web applications.
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实验 精选 Build Google Cloud Infrastructure for AWS Professionals: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Build Google Cloud Infrastructure for AWS Professionals course. You should be familiar with the content of the labs before attempting this lab.
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实验 精选 Getting Started with API Gateway: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Get Started with API Gateway quest. You should be familiar with the content of labs before attempting this lab.
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实验 精选 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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实验 精选 Continuous Delivery with Google Cloud Deploy
Create a delivery pipeline using Google Cloud Deploy, create a release for a basic application, and promote the application through a series of Google Kubernetes Engine targets