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 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.
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实验 精选 Gating Deployments with Binary Authorization
In this lab you will learn about the tools and techniques to secure deployed artifacts.
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实验 精选 Using Custom Fields in Looker Explores
In this lab, you will learn how to utilize custome fields in Looker Explores queries.
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实验 精选 使用遠端開機指令碼部署運算執行個體：挑戰研究室
設定 Linux Google Compute Engine 執行個體，以遠端開機指令碼安裝 Apache 網路伺服器軟體，然後確認 Apache 安裝成功。
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实验 精选 Cloud Spanner - Loading Data and Performing Backups
In this lab, you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
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实验 精选 Caching and Datagroups with LookML
In this lab, you learn how caching works in Looker and explore how to use LookML objects called datagroups to define caching policies.
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实验 精选 Troubleshooting Data Models in Looker
In this lab, you learn how to troubleshoot and diagnose LookML code issues.