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 Google Meet: Getting Started
Use Google Meet to hold impromptu video meetings, virtual training classes around the world, remote interviews, and much more.
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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.
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实验 精选 Integrate BigQuery Data and Google Workspace using Apps Script: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Integrate BigQuery Data and Google Workspace using Apps Script quests. You should be familiar with the content of labs before attempting this lab.
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实验 精选 在 Cloud Run 上部署已集成 Gemini Pro 的 Streamlit 应用
在本实验中，您将学习如何在 Cloud Run 上部署已集成 Gemini Pro 的 Streamlit 应用。
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实验 精选 Google Drive: Getting Started
Use Google Drive to store all your files in the cloud, including photos, Microsoft® Word® documents, Excel® spreadsheets, and more. You can also make changes to a Word file using Google Docs, or convert your Word files to Google Docs.
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实验 精选 Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)
In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).
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实验 精选 Get Started with Google Workspace Tools: Challenge Lab
In this lab you will configure your Workspace as a group member.
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实验 精选 Modularizing LookML Code with Extends
In this lab, you learn how to modularize LookML code with Extends.
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实验 精选 Log Analytics on Google Cloud
In this lab you will learn how to use Cloud Logging to analyze your logs.
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实验 精选 APIs Explorer: Create and Update a Cluster
In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.