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

    Store, Process, and Manage Data on Google Cloud - Command Line: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud - Command Line quest. You should be familiar with the content of labs before attempting this lab.

  2. 实验 精选

    使用 Natural Language API 进行实体和情感分析

    借助 Cloud Natural Language API,您可以从一段文本中提取实体并执行情感和语法分析。在此动手实验中,您将了解如何使用 Cloud Natural Language API 从文本中提取实体和情感。

  3. 实验 精选

    Manage Data Models in Looker: Challenge Lab

    In this lab, you test your skills related to managing data models in Looker. You are expected to use best practices to support LookML project health and optimize queries for performance.

  4. 实验 精选

    Arcade Hero: Enter the Storage

    Arcade Hero: Cloud Storage Level One

  5. 实验 精选

    Connected Sheets: Qwik Start

    Connected Sheets, you can analyze billions of rows and petabytes of data in Google Sheets without specialized knowledge of computer languages like SQL. In this hands-on-lab, you will learn how to connect a BigQuery dataset to Google Sheets and analyze your data.

  6. 实验 精选

    创建虚拟机 - Creating a Virtual Machine

    在此实操实验中,您将学习如何创建 Google Compute Engine 虚拟机,并了解可用区、区域和不同的机器类型。您可以观看下面的短视频,先行了解一下实验内容:GCP 基础知识 - 创建虚拟机。

  7. 实验 精选

    Deploying a Multi-Cluster Gateway Across GKE Clusters

    Learn how to enable, use, and deploy the multi-cluster Google Kubernetes Engine (GKE) Gateway controller

  8. 实验 精选

    使用 Go 和 Cloud Run 创建 PDF 文件

    学习如何使用无服务器技术和 Go 来开发应用,以便在 Google Cloud 上创建 PDF 文件。

  9. 实验 精选

    VPC Networking: Cloud HA-VPN

    Set up two VPCs and add a cloud HA-VPN gateway in each, then run two tunnels from each VPN gateway to demonstrate the HA-VPN gateway configuration for 99.99% SLA.

  10. 实验 精选

    Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

    In this lab you will learn how to create Data Twins for customers on Google Cloud or a different cloud service provider.