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！
-
实验 精选 Using Memorystore for Redis Read Replicas to Improve Read Performance
In this lab, you will configure a highly available Memorystore cluster and review the architecture of such a deployment.
-
实验 精选 使用 BeyondCorp Enterprise (BCE) 保护虚拟机
在本实验中，您将学习如何使用 Identity-Aware Proxy (IAP) TCP 转发实现对没有外部 IP 地址或不允许通过互联网直接访问的虚拟机实例的管理员权限。
-
实验 精选 App Dev: Deploying the Application into Kubernetes Engine - Python
In this lab, you will deploy the quiz application into Kubernetes Engine, leveraging Google Cloud Platform resources including Container Builder and Container Registry, and Kubernetes resources including Deployments, Pods, and Services.
-
实验 精选 Google Kubernetes Engine Security: Binary Authorization
This lab deploys a Kubernetes Engine Cluster with the Binary Authorization feature enabled; you'll learn how to whitelist approved container registries and the process of creating and running a signed container.
-
实验 精选 Working with Onscreen Data in a Flutter Application
In this lab you will develop a Flutter app using a ListView widget. Learn how to contruct a Flutter application that is capable of efficiently showing a list of data. Customise the application AppBar to provide additional functionality.
-
实验 精选 Streaming Data to Bigtable
In this lab, you launch a Dataflow pipeline to load streaming data from Pub/Sub into Bigtable.
-
实验 精选 Cloud Endpoints: Qwik Start
In this lab you'll deploy a sample API with Google Cloud Endpoints.
-
实验 精选 了解并综合运用 GKE 自动扩缩策略
在本实验中，您将了解各种不同 Google Kubernetes Engine 自动扩缩策略的优势，其中包括执行 Pod 级扩缩的 Pod 横向自动扩缩和 Pod 纵向自动扩缩，以及执行节点级扩缩的集群自动扩缩器和节点自动预配功能。
-
实验 精选 Connect to Cloud SQL from an Application in Google Kubernetes Engine
This lab shows how easy it is to connect an application in Google Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a GKE cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.