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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1187 条结果
  1. 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。

  2. 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?

  3. 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.

  4. 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.

  5. 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

  6. 实验 精选

    Analyze and activate your data with Looker Enterprise

    Capstone Data Analyst Challenge Lab 2

  7. 实验 精选

    Introduction to Cloud Dataproc: Hadoop and Spark on Google Cloud

    In this lab, you will learn how to start a managed Spark/Hadoop cluster using Dataproc, submit a sample Spark job, and shut down your cluster using the Google Cloud Console.

  8. 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.

  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

    Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab

    In this challenge lab you will train, deploy, and create a model pipeline using Vertex AI.