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 Pub/Sub：Qwik Start - Python
在本研究室中，您將瞭解 Pub/Sub 的基本知識、如何使用 Python 指令碼建立主題和訂閱者，以及發布和查看訊息。詳情請觀看短片：《透過 Cloud Pub/Sub 簡化事件導向處理作業》。
-
实验 精选 Deploy, Scale, and Update Your Website on Google Kubernetes Engine
Deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.
-
实验 精选 Administering an AlloyDB Database
In this lab, you perform administrative tasks that are essential to the optimal use of an AlloyDB for PostgreSQL database.
-
实验 精选 Chronicle SIEM: Multi Event Rules
In this lab you will learn more about Multi Event Rules of the Chronicle security solution.
-
实验 精选 Orchestrating the Cloud with Kubernetes (AWS)
In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes Deployments and Services.
-
实验 精选 Generative AI: Associate Cloud Engineer Revision
Arcade chatbot lab to learn about the Associate Cloud Engineer
-
实验 精选 Orchestrating the Cloud with Kubernetes (Azure)
In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.
-
实验 精选 Tag and Discover BigLake Data: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Tag and Discover BigLake Data course. You should be familiar with the content of labs before attempting this lab.
-
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.