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

    Running a Containerized App on Google Kubernetes Engine

    Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.

  2. 实验 精选

    Arcade Hero: Enter the Cloud Function Golang

    Arcade Hero: Cloud Function Level One

  3. 实验 精选

    Cloud Data Loss Prevention API: Qwik Start

    The Cloud Data Loss Prevention API (part of Sensitive Data Protection) provides programmatic access to a powerful detection engine for privacy-sensitive data. In this lab, you learn how to use the Cloud Data Loss Prevention API to inspect a string of data for sensitive information.

  4. 实验 精选

    Redacting Sensitive Data with the DLP API

    Redacting Sensitive Data with the DLP API

  5. 实验 精选

    Google Meet: Getting Started

    Use Google Meet to hold impromptu video meetings, virtual training classes around the world, remote interviews, and much more.

  6. 实验 精选

    Analyze Sentiment with Natural Language API: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Analyze Sentiment with Natural Language API quest. You should be familiar with the content of labs before attempting this lab.

  7. 实验 精选

    Securing Google Cloud with CFT Scorecard

    CFT Scorecard is a utility you can combine with Forseti policies to check for violations in your Google Cloud environment.

  8. 实验 精选

    Deploying Redis Enterprise for GKE and Serverless App on GDCV on Bare Metal

    In this lab you will learn how to create Compute Engine VMs on Google Cloud to simulate GDVC on Bare Metal (BM) in high-availability mode, install Anthos Service Mesh and Knative on the GKE on Bare Metal cluster, deploy Redis Enterprise for GKE and a Serverless application, then run a load test.

  9. 实验 精选

    Migrate Existing Prometheus Monitoring Workloads to Google Cloud

    Learn how to use Managed Service for Prometheus in a self-deployed data collection mode. You can also utilize managed data collection as well.

  10. 实验 精选

    Develop Serverless Apps with Firebase:挑戰研究室

    在這個研究室,您會運用 REST API 和 Firestore 資料庫來建立前端解決方案。目標為使用 Google Cloud 無伺服器基礎架構,解決實際情境問題。