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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  1. 实验 精选

    Setting up Jenkins on Kubernetes Engine

    This hands-on lab will show you how to set up Jenkins on Google Kubernetes Engine to help orchestrate your software delivery pipeline.

  2. 实验 精选

    Using Role-based Access Control in Kubernetes Engine

    After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.

  3. 实验 精选

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

  4. 实验 精选

    GKE Autopilot: Qwik Start

    GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.

  5. 实验 精选

    使用 Cloud Build 的 Google Kubernetes Engine 流水线

    创建一个自动执行以下任务的 CI/CD 流水线:构建容器映像,将映像存储在 Artifact Registry 中,更新 Git 代码库中的 Kubernetes 清单,以及将应用部署到 Google Kubernetes Engine。

  6. 实验 精选

    Implement DevOps Workflows in Google Cloud: Challenge Lab

    This challenge labs tests your skills in implementing a CI/CD pipeline using Cloud Build, Cloud Source Repositories, and GKE.

  7. 实验 精选

    Distributed Load Testing Using Kubernetes

    Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

  8. 实验 精选

    Understanding and Combining GKE Autoscaling Strategies

    In this lab you will explore the benefits of different Google Kubernetes Engine autoscaling strategies, like Horizontal Pod Autoscaling and Vertical Pod Autoscaling for pod-level scaling, and Cluster Autoscaler and Node Auto Provisioning for node-level scaling.

  9. 课程 精选

    Implement DevOps Workflows in Google Cloud

    Complete the intermediate Implement DevOps Workflows in Google Cloud skill badge to demonstrate skills in the following: creating git repositories with Cloud Source Repositories, launching, managing, and scaling deployments on Google Kubernetes Engine (GKE), and architecting CI/CD pipelines that automate container…

  10. 实验 精选

    GKE Workload Optimization

    This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container native load balancing, application load testing, readiness and liveness probes, and pod disruption …