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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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.
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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。
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实验 精选 Securing APIs with Apigee X
In this lab, you modify an API to require OAuth tokens for access. You use the SpikeArrest policy to limit the rate of API calls by application, and you use private variables and data masking to hide sensitive data from users who debug API traffic.
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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?
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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.
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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.
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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
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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.).
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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.
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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.