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 Analyze Images with the Cloud Vision API: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Analyze Images with the Cloud Vision API quest. You should be familiar with the content of labs before attempting this lab.
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实验 精选 Speech to Text Transcription with the Cloud Speech API
The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.
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实验 精选 Create a Custom Network and Apply Firewall Rules
Use the gcloud command line to set up a VPN and 3 subnetworks, then apply firewalls.
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实验 精选 Generative AI: Cloud Architect Revision
Arcade chatbot lab to learn about the Professional Cloud Architect
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实验 精选 IAM 自訂角色
Cloud IAM 可提供合適的資源權限管理工具，並具備簡潔和高度自動化的特性，您不會直接授予權限給使用者，而是向他們授予繫結了一或多個權限的「角色」。這麼做可將公司內部的職務對應至相關的群組與角色。
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实验 精选 Form Parsing with Document AI (Python)
In this lab, you will learn how to use the Document AI Form Parser to parse a handwritten form with Python.
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实验 精选 Dialogflow CX: Managing Environments
In this lab you will continue using a virtual agent and learn how to create versions, environments, and test your bot
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实验 精选 Speech-to-Text API：Qwik Start
Speech-to-Text API 可將語音辨識技術整合至開發人員應用程式，並將收到的音訊轉錄成文字。建議您觀看下列短片：《Powerful Speech Recognition Using Google Machine Learning》和《Google Cloud Speech: Qwik Start - Qwiklabs Preview》
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实验 精选 Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and Vertex AI Workbench
In this lab you will use an Vertex AI Notebook instance to retrieve as many transactions as possible from BigQuery within 2 degrees of separation from the pizza exchange, post-process the transactions to remove excess transaction, then visualize the directed graph.
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实验 精选 Monitoring and Managing Bigtable Health and Performance
In this lab, you monitor disk and CPU usage in a Bigtable instance, update an existing cluster to apply node autoscaling, implement replication in an instance, and back up and restore data in Bigtable.