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

    BigQuery:Qwik Start - 指令列

    在本實作實驗室中,您將瞭解如何使用指令列介面查詢公開資料表,以及將樣本資料載入 BigQuery。建議您觀看下列短片:《Get Meaningful Insights with Google BigQuery》和《BigQuery: Qwik Start - Qwiklabs Preview》。

  2. 实验 精选

    Improving Network Performance I

    In this lab, you'll work on practical elements of performance testing, with an eye to improving network bandwidth in your environment by using different core sizes and internal vs. external networks.

  3. 实验 精选

    Using Specialized Processors with Document AI (Python)

    In this lab, you will learn how to use Document AI Specialized Processors to classify and parse specialized documents with Python.

  4. 实验 精选

    Analyze Images with the Cloud Vision API: Challenge Lab

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

  5. 实验 精选

    Examining BigQuery Billing Data in Google Sheets

    Use Google Workspace Connected Sheets to harness the power of BigQuery. Connected Sheets lets you access and use data analytic functions to run queries and analyze data. You could create a Sheet to access and analyze your sales data, for example, then configure your Sheet to always reflect current data.

  6. 实验 精选

    Exploring NCAA Data with BigQuery

    Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.

  7. 实验 精选

    Create and Test a Document AI Processor

    Learn how to to create and use document processors using the Document AI API.

  8. 实验 精选

    合併 Looker 中不同探索的結果

    在本實驗室中,您將合併 Looker 中不同探索的結果。

  9. 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.

  10. 实验 精选

    Infrastructure as Code with Terraform

    In this lab, you will explore how terraform can be used to create, manage, and destroy Google Cloud resources.