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

    Getting Started with Google Cloud NetApp Volumes

    In this lab, you will learn the basic concepts about Google Cloud NetApp Volumes

  2. 实验 精选

    Develop with Apps Script and AppSheet: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Develop with Apps Script and AppSheet quest. You should be familiar with the content of those labs before attempting this lab.

  3. 实验 精选

    Implement Load Balancing on Compute Engine:挑戰研究室

    完成 Implement Load Balancing on Compute Engine 技能徽章課程的研究室之後,您可以透過這個挑戰研究室檢測所學的技能與知識。進行這個研究室之前,請先熟悉研究室的內容。

  4. 实验 精选

    Running Distributed TensorFlow using Vertex AI

    In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image classification dataset.

  5. 实验 精选

    Exploring the Public Cryptocurrency Datasets Available in BigQuery

    In this hands-on lab you’ll learn how to use BigQuery to explore the cryptocurrency public datasets now available. This is a challange lab, and you are required to complete some simple SQL statements.

  6. 实验 精选

    Manage and Secure Distributed Services with GKE Managed Service Mesh

    Learn how to run distributed services on multiple Google Kubernetes Engine (GKE) clusters in Google Cloud using Multi Cluster Ingress and GKE Service Mesh

  7. 实验 精选

    Set Up a Google Cloud Network: Challenge Lab

    This challenge lab tests your skills and knowledge from the Set Up a Google Cloud Network skill badge. Are you ready for the challenge?

  8. 实验 精选

    Rent-a-VM to Process Earthquake Data

    In this lab you spin up a virtual machine, configure its security, access it remotely, and then carry out the steps of an ingest-transform-and-publish data pipeline manually. This lab is part of a series of labs on processing scientific data.

  9. 实验 精选

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

  10. 实验 精选

    Using Ruby on Rails with Cloud SQL for PostgreSQL on Cloud Run

    In this lab, you'll learn how to deploy a new Ruby on Rails application using Google Cloud SQL for PostgreSQL on Cloud Run.