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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1187 条结果
  1. 实验 精选

    Deploy Kubernetes Applications on Google Cloud:挑戰研究室

    完成「Deploy Kubernetes Applications on Google Cloud」課程的實驗室後,您可以透過這個挑戰實驗室,檢測所學的技能和知識。進入挑戰研究室前,請先熟悉研究室的內容。

  2. 实验 精选

    Implement the User Experience for your AppSheet App

    In this lab, you will use AppSheet to implement the UX components in your app.

  3. 实验 精选

    部署 GKE Autopilot 叢集

    開始使用 Google Kubernetes Engine:透過 Google Cloud 控制台建立 GKE Autopilot 叢集

  4. 实验 精选

    Defending Edge Cache with Cloud Armor

    Apply Google Cloud Armor security policies to restrict access to cached objects on Cloud CDN and Cloud Storage, and block the traffic before it reaches the load balanced backend services or buckets.

  5. 实验 精选

    Analytics as a Service for Data Sharing Partners

    In this lab you will learn how Authorized Views in BigQuery can be shared and consumed to create customer-specific dashboards.

  6. 实验 精选

    Hardening Default GKE Cluster Configurations

    This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation

  7. 实验 精选

    Enhancing User Interactivity in Looker with Liquid

    In this lab you will use Liquid parameters and templated filters to enhance interactivity by users in Looker.

  8. 实验 精选

    Build an End-to-End Data Capture Pipeline using Document AI

    Use Cloud Functions and Pub/Sub to create an end-to-end document processing pipeline using Document AI.

  9. 实验 精选

    Using Cloud SQL with Google Kubernetes Engine and Workload Identity

    Connect a GKE cluster to Cloud SQL using Workload Identity and a sidecar proxy.

  10. 实验 精选

    APIs Explorer: App Engine

    In this lab, you will get hands-on practice configuring and deploying an App Engine instance with the APIs Explorer tool.