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

    Pub/Sub Lite: Qwik Start

    Pub/Sub Lite is a zonal service for messaging systems with predictable traffic patterns. In this lab you will create Lite topics and Lite subscriptions, then send and receive messages using the Pub/Sub Lite client library for Python.

  2. 实验 精选

    Data Loss Prevention: Qwik Start - JSON

    The Data Loss Prevention API provides programmatic access to a powerful detection engine for privacy-sensitive data. In this lab, you learn how to use this API to inspect a string of data for sensitive information.

  3. 实验 精选

    Looker Data Explorer - Qwik Start

    在本实验中,您将基于“Airports”(机场)和“Flights”(航班)数据集创建一系列可视化图表,并将其保存到 Looker 中的信息中心。

  4. 实验 精选

    设置网络负载均衡器和 HTTP 负载均衡器

    在本实操实验中,您将为 Compute Engine 虚拟机中运行的应用设置网络负载均衡器和 HTTP 负载均衡器。

  5. 实验 精选

    Data Publishing on BigQuery using Authorized Views for Data Sharing Partners

    In this lab you will learn how Authorized Views in BigQuery can be used to share customer specific data from a Data Sharing Partner.

  6. 实验 精选

    Use Google Forms with Google Sheets

    With Google Forms, you can create a survey, validate responses, and add custom logic that shows questions based on answers.

  7. 实验 精选

    Exploring NCAA Data with BigQuery

    Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.

  8. 实验 精选

    VPC Flow Logs - Analyzing Network Traffic

    In this lab, you configure a network to record traffic to and from an apache web server using VPC Flow Logs. You then export the logs to BigQuery to analyze them.

  9. 实验 精选

    Dataflow:Qwik Start - 模板

    在本实验中,您将学习如何使用 Google 提供的 Dataflow 模板创建流处理流水线。

  10. 实验 精选

    Using the Natural Language API from Google Docs

    In this hands-on lab, you use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.