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

    Orchestrating the Cloud with Kubernetes (Azure)

    In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.

  2. 实验 精选

    Getting Started with Vault

    In this hands-on lab, you will learn the basics of Vault.

  3. 实验 精选

    Looker Developer: Qwik Start

    In this lab, you learn about the fundamental LookML structures, create a view, and join the new view to an existing Explore.

  4. 实验 精选

    Administering an AlloyDB Database

    In this lab, you perform administrative tasks that are essential to the optimal use of an AlloyDB for PostgreSQL database.

  5. 实验 精选

    Deploy, Scale, and Update Your Website on Google Kubernetes Engine

    Deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.

  6. 实验 精选

    Finding Data in Google Sheets

    Finding specific content in large spreadsheets can be tricky. Learn to manipulate, search and substitute values in Google Sheets.

  7. 实验 精选

    Generative AI: Associate Cloud Engineer Revision

    Arcade chatbot lab to learn about the Associate Cloud Engineer

  8. 实验 精选

    Chronicle SIEM: Multi Event Rules

    In this lab you will learn more about Multi Event Rules of the Chronicle security solution.

  9. 实验 精选

    Speech to Text Transcription with the Cloud Speech API

    The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.

  10. 实验 精选

    Tag and Discover BigLake Data: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Tag and Discover BigLake Data course. You should be familiar with the content of labs before attempting this lab.