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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697 条结果

  1. 实验 精选

    Create a VPC using Cloud Shell

    Create and then view a VPC with a subnet.

  2. 实验 精选

    Configure Managed Guest Sessions for Public Access or Shared ChromeOS Devices

    In this lab you'll set up ChromeOS Managed Guest Sessions settings.

  3. 实验 精选

    Explore a lakehouse

    Use a data lakehouse and combine data on GCS with BigQuery

  4. 实验 精选

    Arcade Hero: Enter the Artifact Registry Maven

    Arcade Hero: Artifact Registry Level One

  5. 实验 精选

    Use reports to remediate findings

    Remediate threats detailed in a management report

  6. 实验 精选

    Translate Text with the Cloud Translation API

    Cloud Translation translates an arbitrary string into any supported language. In this hands-on lab, you use the Cloud Translation API to detect the language of a text, and then translate the text.

  7. 实验 精选

    Speech to Text Transcription with the Cloud Speech API

    The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.

  8. 实验 精选

    BigQuery Machine Learning using Soccer Data

    Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.

  9. 实验 精选

    Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud

    In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.

  10. 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.