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!

过滤条件
全部清除
  • 徽章
  • 格式
  • 语言

1212 条结果
  1. 实验 精选

    Arcade Hero: Enter the Cloud Function Ruby

    Arcade Hero: Cloud Function Level One

  2. 实验 精选

    Generative AI: Database Engineer Revision

    Arcade chatbot lab to learn about the Professional Database Engineer

  3. 实验 精选

    Perform Predictive Data Analysis in BigQuery: Challenge Lab

    This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.

  4. 实验 精选

    Apply RFM method to segment customer data

    Apply RFM Method in BigQuery

  5. 实验 精选

    Setting Up Cost Control with Quota

    In this lab you will query a large dataset, update the BigQuery API quota, and then optimize your query to run within quota.

  6. 实验 精选

    Cloud Natural Language API:Qwik Start

    借助 Cloud Natural Language API,您可以从文本中提取实体并执行情感和语法分析。欢迎观看下面两个简短视频:使用 Cloud Natural Language 从文本中获取有价值的数据洞见和 Cloud Natural Language:Qwik Start - Qwiklabs 预览。

  7. 实验 精选

    Deploy, Scale, and Update Your Website on Google Kubernetes Engine

    Deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.

  8. 实验 精选

    Generative AI: Associate Cloud Engineer Revision

    Arcade chatbot lab to learn about the Associate Cloud Engineer

  9. 实验 精选

    Visualizing Billing Data with Looker Studio

    In this lab, you will harness the power of Looker Studio, where you will learn how to build billing graphs and charts so you can slice and dice your Google Cloud bill the way you want.

  10. 实验 精选

    Summarize Text using SQL and LLMs in BigQuery ML

    In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.