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 Google Cloud SDK: Qwik Start - Redhat/Centos
In this hands-on lab you will learn how to perform basic tasks in Cloud Storage using the gcloud command-line tool. For a short preview, watch Cloud SDK - Essential Command-Line Tools for Google Cloud Platform.
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实验 精选 Configuring IAM Permissions with gCloud - Azure
In this lab introduces you will use the gcloud CLI tool to set up and configure command features of Cloud Identity and Access Management.
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实验 精选 Design Conversational Flows for your Agent
Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational interface.
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实验 精选 Integrate Private Service Connect with Service Directory
This lab demonstrates how to integrate PSC and Service Directory.
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实验 精选 Responding to Cloud Logging Messages with Cloud Functions
In this lab you will learn how to use Cloud Functions to do lightweight processing of Cloud Logging messages
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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。
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实验 精选 Configuring Private Google Access and Cloud NAT
In this lab, you configure Private Google Access and Cloud NAT for a VM instance that doesn't have an external IP address. Then, you verify access to public IP addresses of Google APIs and services and other connections to the internet.
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实验 精选 HTTPS Content-Based Load Balancer with Terraform
This lab shows you how to create a HTTPS load balancer to forward traffic to a custom URL map, which then sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket.
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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…
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实验 精选 在 Google Cloud 上使用 Dataflow 和 BigQuery 處理 ETL 作業 (Python)
在本實驗室中，您將建構數個資料 pipeline，從公開資料集擷取資料並轉換至 BigQuery。