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 Hosting a Web App on Google Cloud Using Compute Engine - Azure
In this lab, you will deploy and scale a Web App on Google Compute Engine.
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实验 精选 Monitoring in Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Monitoring in Google Cloud quest. You should be familiar with the content of labs before attempting this lab.
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实验 精选 Vertex AI Tabular Data: Qwik Start
In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.
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实验 精选 使用 Looker Studio 探索和建立報表
在這個研究室中，您會瞭解如何將 Looker Studio 連結至 Google BigQuery 資料表、建立圖表，並探索維度與測量指標之間的關係。
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实验 精选 Store, Process, and Manage Data on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud course. You should be familiar with the content of labs before attempting this lab.
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实验 精选 Cloud DNS - Traffic Steering using Geolocation Policy
In this lab you will configure and test the Geolocation routing policy.
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实验 精选 Identify Application Vulnerabilities with Security Command Center
In this lab, you will use Web Security Scanner—one of Security Command Center's built-in services—to scan a Python Flask application for vulnerabilities.
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实验 精选 Process Documents with Python Using the Document AI API
Use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python.
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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 Creating and Populating a Bigtable Instance
In this lab, you create a Bigtable instance and table and then use a Dataflow template to populate the table from pre-generated data files on Cloud Storage.