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！
-
实验 精选 Analyze Speech & Language with Google APIs: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Analyze Speech & Language with Google APIs quest. You should be familiar with the content of labs before attempting this lab.
-
实验 精选 建立虛擬機器 - Creating a Virtual Machine
在這個實作研究室中，您將學習如何建立 Google Compute Engine 虛擬機器，以及瞭解可用區、區域和機器類型。如要預覽研究室內容，請觀看這部短片：建立虛擬機器 (GCP 基礎入門)。
-
实验 精选 Introduction to SQL for BigQuery and Cloud SQL
在這個實驗室，您會瞭解基礎 SQL 子句，並在 BigQuery 和 Cloud SQL 實際練習執行結構化查詢。
-
实验 精选 Configure Managed Guest Sessions for Public Access or Shared ChromeOS Devices
In this lab you'll set up ChromeOS Managed Guest Sessions settings.
-
实验 精选 Migrating On-premises MySQL Using a Continuous Database Migration Service Job
In this lab, you migrate an on-premises MySQL database (running on a virtual machine) to Cloud SQL for MySQL using a continuous Database Migration Service job and VPC peering for connectivity. After you create and run the migration job, you confirm that an initial copy of your database has been successfully migrat…
-
实验 精选 Connect an App to a Cloud SQL for PostgreSQL Instance
In this lab, you create a Kubernetes cluster and deploy a simple application to that cluster. Then, you connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.
-
实验 精选 Identify different batch and streaming data sources
Differentiate between batch and streaming data sources, formats, and frequency
-
实验 精选 Optical Character Recognition (OCR) with Document AI (Python)
In this lab, you will learn how to perform Optical Character Recognition using the Document AI API with Python.
-
实验 精选 Vertex AI：Qwik Start
在本研究室中，您會運用 BigQuery 執行資料處理和探索性資料分析作業，然後透過 Vertex AI 平台訓練及部署自訂 TensorFlow 迴歸因子模型，來預測顧客終身價值 (CLV)。本研究室旨在藉由預測 CLV 這個高價值的應用實例，帶您瞭解 Vertex AI。您會先執行 BigQuery 和 TensorFlow 工作流程，隨後透過 Vertex AI 在雲端環境中訓練及部署模型。