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 Using Memorystore for Redis Read Replicas to Improve Read Performance
In this lab, you will configure a highly available Memorystore cluster and review the architecture of such a deployment.
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实验 精选 透過 BeyondCorp Enterprise (BCE) 確保虛擬機器安全
在本研究室中，您將瞭解如何使用 Identity-Aware Proxy (IAP) TCP 轉送功能，為沒有外部 IP 位址，或不允許直接透過網際網路存取的 VM 執行個體，啟用管理員權限。
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实验 精选 App Dev: Deploying the Application into Kubernetes Engine - Python
In this lab, you will deploy the quiz application into Kubernetes Engine, leveraging Google Cloud Platform resources including Container Builder and Container Registry, and Kubernetes resources including Deployments, Pods, and Services.
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实验 精选 Google Kubernetes Engine Security: Binary Authorization
This lab deploys a Kubernetes Engine Cluster with the Binary Authorization feature enabled; you'll learn how to whitelist approved container registries and the process of creating and running a signed container.
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实验 精选 Working with Onscreen Data in a Flutter Application
In this lab you will develop a Flutter app using a ListView widget. Learn how to contruct a Flutter application that is capable of efficiently showing a list of data. Customise the application AppBar to provide additional functionality.
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实验 精选 Streaming Data to Bigtable
In this lab, you launch a Dataflow pipeline to load streaming data from Pub/Sub into Bigtable.
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实验 精选 Cloud Endpoints: Qwik Start
In this lab you'll deploy a sample API with Google Cloud Endpoints.
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实验 精选 瞭解及整合 GKE 自動調度資源策略
在本實驗室中，您將瞭解各種不同 Google Kubernetes Engine 自動調度資源策略的優點，例如 pod 層級的水平/垂直自動調度 Pod 資源功能，以及節點層級的叢集自動配置器和自動佈建節點功能。
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实验 精选 Connect to Cloud SQL from an Application in Google Kubernetes Engine
This lab shows how easy it is to connect an application in Google Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a GKE cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.