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 Google Meet: Getting Started
Use Google Meet to hold impromptu video meetings, virtual training classes around the world, remote interviews, and much more.
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实验 精选 Connect an App to a Cloud SQL for PostgreSQL Instance
In this lab, you create a Kubernetes cluster and deploy a simple application to that cluster. Then, you connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.
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实验 精选 Integrate BigQuery Data and Google Workspace using Apps Script: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Integrate BigQuery Data and Google Workspace using Apps Script quests. You should be familiar with the content of labs before attempting this lab.
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实验 精选 在 Cloud Run 部署已整合 Gemini Pro 的 Streamlit 應用程式
在本研究室中，您將瞭解如何在 Cloud Run 部署已整合 Gemini Pro 的 Streamlit 應用程式。
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实验 精选 Google Drive: Getting Started
Use Google Drive to store all your files in the cloud, including photos, Microsoft® Word® documents, Excel® spreadsheets, and more. You can also make changes to a Word file using Google Docs, or convert your Word files to Google Docs.
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实验 精选 Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)
In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).
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实验 精选 Get Started with Google Workspace Tools: Challenge Lab
In this lab you will configure your Workspace as a group member.
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实验 精选 Modularizing LookML Code with Extends
In this lab, you learn how to modularize LookML code with Extends.
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实验 精选 Log Analytics on Google Cloud
In this lab you will learn how to use Cloud Logging to analyze your logs.
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实验 精选 APIs Explorer: Create and Update a Cluster
In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.