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 Exploring Memorystore for Redis Cluster
In this lab, you will explore the capabilities of Memorystore for Redis Cluster.
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实验 精选 Secure Software Supply Chain: Create and Use Cloud Workstations
In this lab, you will use Cloud Workstations to create a workstation configuration and launch a new workstation instance from that configuration.
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实验 精选 Contact Center AI Insights
CCAI Insights provides contact center interaction data to answer business questions or support decisions to drive efficiency. It uses Google ML and Large Language Models to turn contact center data to insights to action. Based on the outcomes of the insights module various actions can be taken by contact center ma…
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实验 精选 Migrating Data to and from Spanner with Dataflow
In this lab, you use Dataflow and Apache Beam to migrate data into Spanner.
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实验 精选 Introduction to Migration Center Servers Assessments
Learn how to assess a customer's existing environment, and import data collected from Azure/AWS infrastructure. Generate inventory, performance, network dependencies and financial reports such as TCO (total cost analysis) and DPR (detailed pricing) reports.
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实验 精选 End to End Baseline Chat Summarization
In this lab, you build a end to end Baseline Chat Summarisation pipeline.
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实验 精选 Serverless Data Processing with Dataflow - Writing an ETL Pipeline using Apache Beam and Dataflow (Python)
In this lab, you a) build a batch ETL pipeline in Apache Beam, which takes raw data from Google Cloud Storage and writes it to BigQuery b) run the Apache Beam pipeline on Dataflow and c) parameterize the execution of the pipeline.
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实验 精选 Building and Debugging Cloud Functions for Node.js
In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.
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实验 精选 Build Apps with Gemini Code Assist
In this lab, you'll develop an app using assistance from Gemini within an IDE.
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实验 精选 Route Datadog Monitoring Alerts to Google Cloud with Eventarc
In this lab, you will learn how to use the Datadog Monitoring with Google Eventarc.