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!

过滤条件
全部清除
  • Badge
  • 格式
  • 语言

1186 条结果
  1. 实验 精选

    Block.one: Creating a Multi Node EOSIO Blockchain

    In this lab, you will extend the single node EOSIO blockchain to use multiple nodes.

  2. 实验 精选

    Datadog: Getting started with the Helm Chart

    In this lab, you will learn how to use the Datadog Helm Chart.

  3. 实验 精选

    Leveraging NetApp Cloud Volume ONTAP Remote Caching Capabilities for EDA Workloads

    In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP remote caching for EDA workloads.

  4. 实验 精选

    Material Components for Flutter Basics

    Design a basic frontend for a mobile app using Material Components for Flutter.

  5. 实验 精选

    Migrate MySQL Data to Cloud SQL using Database Migration Service: Challenge Lab

    This challenge lab tests your ability to migrate a database using the Database Migration Service.

  6. 实验 精选

    TFX on Google Cloud Vertex AI Pipelines

    In this lab you will develop, deploy, and run a TFX pipeline on Google Cloud Vertex Pipelines.

  7. 实验 精选

    Answering Complex Questions Using Native Derived Tables with LookML

    In this lab you will use native derived tables to answer complex questions with LookML.

  8. 实验 精选

    Create and Manage Cloud SQL for PostgreSQL Instances: Challenge Lab

    In this challenge lab, you test your skills in creating and managing Cloud SQL for PostgreSQL instances.

  9. 实验 精选

    Getting Started with Elasticsearch on Google Cloud

    In this lab you will create a simple Elasticsearch deployment leveraging Google Cloud Platform.

  10. 实验 精选

    Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion

    In this lab you’ll be working with Wrangler directives which are used by the Wrangler plugin, the “Swiss Army Knife” of plugins in the Data Fusion platform, so that your transformations are encapsulated in one place and we can group transformation tasks into manageable blocks.