按照您自己的方式探索 Google Cloud 培训。
Google Cloud 提供 980 多项学习活动供您选择，我们设计的目录完整全面，充分考虑了您的需求。该目录包含各种可供您选择的活动形式，既有简短的单个实验，也有由视频、文档、实验和测验组成的多模块课程，您可以根据需求进行选择。我们的实验可为您提供实际云资源的临时凭据，以便您通过实际操作掌握 Google Cloud 知识。您可以跟踪、衡量和了解自己的 Google Cloud 学习进度，完成学习活动即可赢取徽章！
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实验 精选 Pub/Sub：Qwik Start - Python
在本实验中，您将了解 Pub/Sub，学习如何使用 Python 脚本创建主题和订阅方，以及如何发布和查看消息。观看短视频使用 Cloud Pub/Sub 简化事件驱动的处理过程。
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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.
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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.
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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.
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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.
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实验 精选 Generative AI: Associate Cloud Engineer Revision
Arcade chatbot lab to learn about the Associate Cloud Engineer
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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.
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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.
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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.