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

    使用 Kubernetes Engine 管理部署

    開發運作的最佳做法,是運用多種部署來管理應用程式部署情境。本研究室提供資源調度和容器管理方法,演練採用多種異質 Deployment 的常見情境。

  2. 实验 精选

    Implement CI/CD Pipelines on Google Cloud: Challenge Lab

    This lab will challenge you to create a CI/CD pipeline, deploy an application to GKE, and rollback that deployment.

  3. 实验 精选

    De-identifying DICOM Data with the Healthcare API

    Use the de-identification functionality of Cloud Healthcare API with the Digital Imaging and Communications in Medicine (DICOM) data model.

  4. 实验 精选

    Gemini 函式呼叫簡介

    在本研究室中,您會瞭解如何搭配使用 Vertex AI Gemini API 和 Python 適用的 Vertex AI SDK,透過 Gemini Pro (gemini-pro) 模型發出函式呼叫。

  5. 实验 精选

    Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)

    In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).

  6. 实验 精选

    A Tour of Cloud Networking

    This lab delivers an overview of the key cloud networking building blocks

  7. 实验 精选

    監控及記錄 Cloud Functions 運作情形

    在 Google Cloud 控制台使用 Cloud Monitoring 查看 Cloud Functions 詳細資料,並使用 Cloud Logging 查看 Cloud 函式資料。

  8. 实验 精选

    Ingesting New Datasets into BigQuery

    This lab focuses on how to ingest new datasets into tables inside of BigQuery.

  9. 实验 精选

    App Engine: Qwik Start - Python

    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.

  10. 实验 精选

    Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

    In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictio…