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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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  1. 实验 精选

    Build an application to send Chat Prompts using the Gemini model

    In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to send text based chat prompts as an input and receive personalized streaming and non-streaming chat responses.

  2. 实验 精选

    Configure Managed Guest Sessions for Public Access or Shared ChromeOS Devices

    In this lab you'll set up ChromeOS Managed Guest Sessions settings.

  3. 实验 精选

    Form Parsing with Document AI (Python)

    In this lab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python.

  4. 实验 精选

    Pub/Sub:Qwik Start - Python

    在本研究室中,您將瞭解 Pub/Sub 的基本知識、如何使用 Python 指令碼建立主題和訂閱者,以及發布和查看訊息。詳情請觀看短片:《透過 Cloud Pub/Sub 簡化事件導向處理作業》。

  5. 实验 精选

    Network Tiers - Optimizing Network Spend

    In this lab, you create one VM in the premium network service tier (default) and one VM in the standard network service tier. Then you compare the latency and routes for each VM instance.

  6. 实验 精选

    Create and Manage AlloyDB Instances: Challenge Lab

    This challenge lab tests your ability to create and manage AlloyDB instances and databases on Google Cloud.

  7. 实验 精选

    Practice transformation methods

    Explore public datasets in BigQuery

  8. 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.

  9. 实验 精选

    Optical Character Recognition (OCR) with Document AI (Python)

    In this lab, you will learn how to perform Optical Character Recognition using the Document AI API with Python.

  10. 实验 精选

    Cloud Spanner - Defining Schemas and Understanding Query Plans

    In this lab, you review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates query plans.