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

    Getting Started with API Gateway: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Get Started with API Gateway quest. You should be familiar with the content of labs before attempting this lab.

  2. 实验 精选

    Build a Secure Google Cloud Network:挑戰研究室

    您將在本研究室中接受挑戰,使用 SSH 從遠端安全存取資料並導入防火牆規則。

  3. 实验 精选

    Compute Engine:Qwik Start - Windows

    Google Compute Engine 可讓您運用 Google 基礎架構建立及執行虛擬機器。在這個研究室中,您將在 Google Compute Engine 中建立 Windows Server 執行個體,並透過 RDP 存取。如要預覽研究室內容,請觀看這部短片:啟動 Windows Server 執行個體 (GCP 基礎入門)。

  4. 实验 精选

    Classify Images with TensorFlow Convolutional Neural Networks

    In this lab, you'll learn about how to use convolutional neural networks to improve your image classification models.

  5. 实验 精选

    Autoscaling an Instance Group with Custom Cloud Monitoring Metrics

    This lab describes how to deploy an autoscaling Compute Engine instance group that is automatically scaled using a custom Cloud monitoring metric

  6. 实验 精选

    Migrating a Monolithic Website to Microservices on Google Kubernetes Engine

    Deploy a monolithic application to a Google Kubernetes Engine cluster, then break it down into microservices.

  7. 实验 精选

    Cloud Functions: 3 Ways: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Cloud Functions: 3 Ways quest. You should be familiar with the content of labs before attempting this lab.

  8. 实验 精选

    Arcade Hero: Enter the BigQuery

    Arcade Hero: BigQuery Level One

  9. 实验 精选

    Use Functions, Formulas, and Charts in Google Sheets: Challenge Lab

    In this challenge lab you demonstrate your knowledge of Google Sheets.

  10. 实验 精选

    Pub/Sub Lite: Qwik Start

    Pub/Sub Lite is a zonal service for messaging systems with predictable traffic patterns. In this lab you will create Lite topics and Lite subscriptions, then send and receive messages using the Pub/Sub Lite client library for Python.