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 Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster
In this lab, you create a complete turn-key High Performance Computing (HPC) environment in Google Cloud.
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实验 精选 Cloud Functions:Qwik Start - 命令行
本实操实验将向您介绍如何使用 Cloud Platform 命令行创建和部署 Cloud Functions 函数。欢迎观看以下短视频:使用 Google Cloud Functions 连接和扩展 GCP 服务。
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实验 精选 Automate Data Capture at Scale with Document AI: Challenge Lab
This is a challenge lab based on Automate Data Capture at Scale with Document AI course, where the user complete a series of tasks within a limited time period.
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实验 精选 How to Use a Network Policy on Google Kubernetes Engine
In this lab you learn how to improve the security of your Kubernetes Engine by applying fine-grained restrictions to limit intra-cluster network communication.
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实验 精选 Securing a Cloud SQL for PostgreSQL Instance
In this lab, you deploy a new Cloud SQL instance using a customer-managed encryption key (CMEK). You configure pgAudit to selectively record and track SQL operations performed against that instance, and then you configure and test Cloud SQL IAM database authentication.
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实验 精选 用户身份验证:Identity-Aware Proxy
了解如何使用 Identity-Aware Proxy,在不进行特殊编程的情况下限制只有经过身份验证的选定用户具有访问权限。了解如何从 IAP 中检索用户身份信息。
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实验 精选 Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL
In this lab, you configure and test point-in-time recovery for a Cloud SQL for PostgreSQL instance.
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实验 精选 Deploy a Modern Web App connected to a Cloud Spanner Instance
In this lab, you build and deploy a Node.js application connected to a Cloud Spanner instance. The Node.js application is a stock price visualization tool named OmegaTrade. The OmegaTrade application stores stock prices in Cloud Spanner and renders visualizations using Google Charts.
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实验 精选 Exploring Dataset Metadata Between Projects with Data Catalog
In this lab, you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.