按需活动

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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1058 条结果

  1. 实验 精选

    App Engine: Qwik Start - Go

    This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.

  2. 实验 精选

    Explore flat and nested data types in BigQuery

    Explore flat and nested data types in BigQuery and learn how to use these data types effectively in queries

  3. 实验 精选

    Arcade Hero: Enter the Artifact Registry Maven

    Arcade Hero: Artifact Registry Level One

  4. 实验 精选

    Translate Text with the Cloud Translation API

    Cloud Translation translates an arbitrary string into any supported language. In this hands-on lab, you use the Cloud Translation API to detect the language of a text, and then translate the text.

  5. 实验 精选

    Generative AI: Munich Tour

    Arcade chatbot lab to learn about the Munich

  6. 实验 精选

    Generative AI: Cologne Tour

    Arcade chatbot lab to learn about the Cologne

  7. 实验 精选

    Generative AI: Frankfurt Tour

    Arcade chatbot lab to learn about the Frankfurt

  8. 实验 精选

    Migrating to AlloyDB from PostgreSQL Using PostgreSQL Tools

    In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to AlloyDB for PostgreSQL using native PostgreSQL tools.

  9. 实验 精选

    Introduction to Convolutions with TensorFlow

    A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it!

  10. 实验 精选

    Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud

    In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.