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

    Build Google Cloud Infrastructure for Azure Professionals: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Build Google Cloud Infrastructure for Azure Professionals course. You should be familiar with the content of the labs before attempting this lab.

  2. 实验 精选

    Performance and Cost Optimization with BigQuery

    Learn how to improve your database from a performance and cost perspective

  3. 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.

  4. 实验 精选

    Change firewall rules using Terraform and Cloud Shell

    Change firewall rules using Terraform.

  5. 实验 精选

    Introduction to APIs in Google Cloud

    In this lab, you review the architecture and basic functioning of Application Programming Interfaces (APIs) and then practice by configuring and running Cloud Storage API methods in Cloud Shell.

  6. 实验 精选

    Arcade Hero: Enter the BigQuery Table

    Arcade Hero: BigQuery Level Two

  7. 实验 精选

    Use reports to remediate findings

    Remediate threats detailed in a management report

  8. 实验 精选

    Introduction to Computer Vision with TensorFlow

    In this lab you create a computer vision model that can recognize items of clothing and then explore what affects the training model.

  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

    Data Catalog: Qwik Start

    In this lab, you explore existing datasets with Data Catalog and mine the table and column metadata for insights.