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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1196 条结果
  1. 实验 精选

    Generative AI: Cloud Architect Revision

    Arcade chatbot lab to learn about the Professional Cloud Architect

  2. 实验 精选

    排解資料彙整錯誤

    在本實驗室中,您將瞭解資料表之間的關係,以及彙整資料表時應避免的錯誤。

  3. 实验 精选

    Chronicle SIEM: Introduction & Single Event Rules

    In this lab you perform basic configuration tasks within a Chronicle environment instance.

  4. 实验 精选

    Infrastructure as Code with Terraform

    In this lab, you will explore how terraform can be used to create, manage, and destroy Google Cloud resources.

  5. 实验 精选

    Arcade Hero: Enter the Cloud Function Node.js

    Arcade Hero: Cloud Function Level One

  6. 实验 精选

    Deploy Your Website on Cloud Run

    In this lab you will deploy a website to Google Kubernetes Engine, scale it out to more instances, then deploy a new version using rolling updates.

  7. 实验 精选

    Create and Manage AlloyDB Instances: Challenge Lab

    This challenge lab tests your ability to create and manage AlloyDB instances and databases on Google Cloud.

  8. 实验 精选

    Cloud Filestore: Qwik Start

    Cloud Filestore is a managed file storage service for applications that require a filesystem interface and a shared filesystem for data. Filestore gives users a simple, native experience for standing up managed Network Attached Storage (NAS) with their Google Compute Engine and Kubernetes Engine instances.

  9. 实验 精选

    Deploy Microsoft SQL Server to Compute Engine

    In this lab you will learn how to create a virtual machine with Microsoft SQL Server installed. You’ll also create a Windows user and password and learn how to connect to the Windows Server via remote desktop.

  10. 实验 精选

    Classify Text into Categories with the Natural Language API

    In this lab you'll learn how to classify text into categories using the Natural Language API