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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1186 条结果
  1. 实验 精选

    Hosting a Web App on Google Cloud Using Compute Engine (AWS)

    In this lab you'll deploy and scale a Web App on Google Compute Engine.

  2. 实验 精选

    Implementing Page Navigation in a Flutter Application

    In this lab you will create a Flutter app with a TabView to isolate data. Add navigation to the application to move directly to a page.

  3. 实验 精选

    Big Data Analysis to a Slide Presentation

    This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.

  4. 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。

  5. 实验 精选

    在 Looker 篩選及排序資料

    在本研究室中,您將瞭解如何使用 Looker 篩選及排序資料,然後建立 Look 圖表。

  6. 实验 精选

    Reconciling Account Data with Cloud Spanner Change Streams

    Learn how to perform financial account reconciliation tasks using Cloud Spanner, Dataflow, and BigQuery.

  7. 实验 精选

    Migrating On-premises MySQL Using a Continuous Database Migration Service Job

    In this lab, you migrate an on-premises MySQL database (running on a virtual machine) to Cloud SQL for MySQL using a continuous Database Migration Service job and VPC peering for connectivity. After you create and run the migration job, you confirm that an initial copy of your database has been successfully migrat…

  8. 实验 精选

    Looker Studio: Qwik Start

    Data Studio lets you create dynamic, visually compelling reports and dashboards. Watch the short video Data Studio: Qwik Start - Qwiklabs Preview.

  9. 实验 精选

    Adding an Apigee X Environment and Group

    In this lab, you add a new environment and environment group to an Apigee X evaluation org.

  10. 实验 精选

    Analyze audit logs using BigQuery

    Analyze a series of events using logging tools to determine if the activity is considered an incident