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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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1215 条结果
  1. 实验 精选

    Creating a De-identified Copy of Data in Cloud Storage

    In this lab, you create and run a Sensitive Data Protection job using the De-identify (DeID) Findings Action to create a redacted and de-identified copy data in Cloud Storage.

  2. 实验 精选

    Dataflow:Qwik Start - Python

    在本研究室中,您會運用 Apache Beam SDK for Python 為 Dataflow 設定 Python 開發環境,並執行 Dataflow 範例管道。

  3. 实验 精选

    使用 PaLM 進行提示設計

    本研究室著重探討提示設計的基本概念與最佳做法,您將學習如何設計優質提示、與 PaLM 互動以取得需要的回覆,以及辨別回覆中的幻覺。

  4. 实验 精选

    Adding an Apigee X Environment and Group

    In this lab, you add a new environment and environment group to an Apigee X evaluation org.

  5. 实验 精选

    瞭解及整合 GKE 自動調度資源策略

    在本實驗室中,您將瞭解各種不同 Google Kubernetes Engine 自動調度資源策略的優點,例如 pod 層級的水平/垂直自動調度 Pod 資源功能,以及節點層級的叢集自動配置器和自動佈建節點功能。

  6. 实验 精选

    Derive Insights from BigQuery Data:挑戰實驗室

    本挑戰實驗室會檢驗您在「Derive Insights from BigQuery Data」技能徽章實驗室所學的技能與知識。請先熟悉該實驗室的內容,再開始這個挑戰實驗室課程。

  7. 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.

  8. 实验 精选

    Getting Started with Redis and RediSearch

    In this lab you will use Redis and RediSearch, an add-on module that enables full-text search and secondary indexing in Redis, to install and run a Redis instance, import example hashes, index them with RediSearch, and query them.

  9. 实验 精选

    Getting Started with Liquid to Customize the Looker User Experience

    In this lab you will use Liquid to customize dimensions and measure in Looker.

  10. 实验 精选

    Connect to Cloud SQL from an Application in Google Kubernetes Engine

    This lab shows how easy it is to connect an application in Google Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a GKE cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.