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 Deploying Redis Enterprise for GKE and Serverless App on GDCV on Bare Metal
In this lab you will learn how to create Compute Engine VMs on Google Cloud to simulate GDVC on Bare Metal (BM) in high-availability mode, install Anthos Service Mesh and Knative on the GKE on Bare Metal cluster, deploy Redis Enterprise for GKE and a Serverless application, then run a load test.
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实验 精选 将 HTTP 负载均衡器与 Cloud Armor 结合使用
利用全球后端配置 HTTP 负载均衡器、对负载均衡器执行压力测试，并使用 Cloud Armor 将压力测试 IP 地址列入拒绝名单。
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实验 精选 Configure Managed Guest Sessions and Deploy Digital Signage App on ChromeOS
Create OUs, set up managed guest session settings for different OUs, set up a kiosk app on ChromeOS and install a virtual desktop solution (Citrix workspace).
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实验 精选 Use Dataproc Serverless for Spark to Load BigQuery
This hands-on lab shows you how to use Dataproc Serverless for Spark to load BigQuery.
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实验 精选 在 TensorFlow 中使用 MinDiff 来减轻不公平偏见
本实验可帮助您了解如何充分利用 TensorFlow Model Remediation 库，使用该库中提供的 MinDiff 技术来减轻不公平偏见。
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实验 精选 Stream Processing with Cloud Pub/Sub and Dataflow: Qwik Start
This quickstart shows you how to use Dataflow to read messages published to a Pub/Sub topic, window (or group) the messages by timestamp, and Write the messages to Cloud Storage.
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实验 精选 在 Google Cloud 上使用 Terraform 构建基础设施：实验室挑战赛
在本实验室挑战赛中，我们会检验您在使用 Terraform 导入、创建、重新预配、销毁和更新基础设施方面的知识。
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实验 精选 Classify Images with TensorFlow on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Classify Images with TensorFlow on Google Cloud course. You should be familiar with the content of these labs before attempting this lab.
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实验 精选 Getting Started with BigQuery GIS for Data Analysts
BigQuery GIS allows you to easily analyze and visualize geospatial data in BigQuery.
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实验 精选 Vertex AI: Training and Serving a Custom Model
In this lab, you will use Vertex AI to train and serve a TensorFlow model using code in a custom container.