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 Optimize Costs for Google Kubernetes Engine：挑戰實驗室
本實驗室提供一系列挑戰任務，測試您能否部署、調度資源及維護叢集應用程式，並以最佳方式使用資源。
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实验 精选 Datastream: PostgreSQL Replication to BigQuery
In this lab you will replicate data from a PostgreSQL database to BigQuery.
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实验 精选 Serverless Data Processing with Dataflow - Advanced Streaming Analytics Pipeline with Dataflow (Java)
In this lab you read deal with late and malformed streaming data using advanced Apache Beam concepts.
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实验 精选 Automatically Deploy Python Web Apps from Version Control to Cloud Run
Learn how to automatically deploy your changes from version control to Cloud Run
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实验 精选 運用 Vertex AI Gemini 1.0 Pro 開發應用程式
在本研究室中，您會運用 Streamlit 架構與 Vertex AI 的 Gemini API 開發應用程式，並部署至 Cloud Run。
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实验 精选 Using OpenTSDB to Monitor Time-Series Data on Cloud Platform
In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.
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实验 精选 Provisioning an Apigee X Evaluation Organization
In this lab, you use the Apigee X provisioning wizard to create an Apigee X evaluation organization (org).
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实验 精选 Use Go Code to Work with Google Cloud Data Sources
In this lab you explore the basics of Go (golang) by compiling and testing a Go app interactively, deploying it to App Engine, then access data in BigQuery and Firestore.
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实验 精选 Set up a SIEM forwarder on a Linux Instance
Install and configure a SIEM forwarder on a Linux host, then send sample logs using a file collector and observe the ingested logs in a live Chronicle environment.