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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1190 条结果
  1. 实验 精选

    Create and Manage Bigtable Instances: Challenge Lab

    This challenge lab tests your ability to manage Bigtable instances and tables on Google Cloud.

  2. 实验 精选

    使用 Model Garden 探索及評估模型

    在這個實驗室中,您會使用 Model Garden 探索及評估 AI 模型。

  3. 实验 精选

    Securing Google Cloud with CFT Scorecard

    CFT Scorecard is a utility you can combine with Forseti policies to check for violations in your Google Cloud environment.

  4. 实验 精选

    Create symmetric and asymmetric keys

    Key management - create symmetric and asymmetric keys

  5. 实验 精选

    管理 Terraform 狀態

    在這個實作研究室中,您將匯入現有的基礎架構,撰寫符合該基礎架構的 Terraform 設定,並運用 Terraform 管理狀態資料儲存情況。

  6. 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).

  7. 实验 精选

    Using gsutil to Perform Operations on Buckets and Objects

    In this lab you will use gsutil to create a bucket, then perform operations on objects inside the bucket.

  8. 实验 精选

    Create and Manage Cloud Spanner Instances: Challenge Lab

    In this challenge lab, you demonstrate your knowledge of Cloud Spanner that you learned from the Create and Manage Cloud Spanner Instances course.

  9. 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…

  10. 实验 精选

    Manage Data Models in Looker: Challenge Lab

    In this lab, you test your skills related to managing data models in Looker. You are expected to use best practices to support LookML project health and optimize queries for performance.