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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1190 条结果
  1. 实验 精选

    Explore a lakehouse

    Use a data lakehouse and combine data on GCS with BigQuery

  2. 实验 精选

    Mitigate Threats and Vulnerabilities with Security Command Center: Challenge Lab

    In this lab, you test your Security Command Center skills by demonstrating your proficiency in creating mute rules, analyzing and fixing high vulnerability findings, identifying application vulnerabilities, and exporting Findings.

  3. 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.

  4. 实验 精选

    Secure Builds with Cloud Build

    In this lab, you'll learn how to build Cloud Build images, then scan images stored in Artifact Registry for vulnerabilities.

  5. 实验 精选

    Analyze BigQuery Usage with Log Analytics

    Use Log Analytics for in-depth usage logs analysis through SQL querires from the Cloud Logging page.

  6. 实验 精选

    Creating Spanner Instances and Databases (CLI and Terraform)

    In this lab, you automate the creation of Spanner instances and databases using the Google Cloud SDK, the Command Line Interface (CLI), and Terraform.

  7. 实验 精选

    Multimodal Use Cases with Gemini 1.5

    In this lab, you will learn how to use Gemini 1.5 Pro and Gemini 1.5 Flash LLMs for multimodal use cases.

  8. 实验 精选

    使用 Cloud Build 建立 Google Kubernetes Engine 管道

    建立 CI/CD 管道,透過管道自動建構容器映像檔、將該映像檔儲存到 Artifact Registry、更新 Git 存放區中的 Kubernetes 資訊清單,並將應用程式部署到 Google Kubernetes Engine。

  9. 实验 精选

    AlloyDB - Database Fundamentals

    In this lab, you perform several key fundamental tasks for creating and managing AlloyDB for PostgreSQL instances and databases.

  10. 实验 精选

    Using the Natural Language API from Google Docs

    In this hands-on lab, you use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.