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

    Orchestrating the Cloud with Kubernetes (AWS)

    In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes Deployments and Services.

  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

    Cloud SQL for PostgreSQL: Qwik Start

    Create a Google Cloud SQL PostgreSQL instance. Perform SQL operations using the GCP Console and the psql client.

  4. 实验 精选

    Dialogflow CX: Enable IVR Features for your Voice Agent

    Build a conversational agent that include IVR features that Dialogflow CX provides.

  5. 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.

  6. 实验 精选

    Analyze BigQuery Usage with Log Analytics

    Use Log Analytics for in-depth usage logs analysis through SQL querires from the Cloud Logging page.

  7. 实验 精选

    Publish your AppSheet App

    In this lab, you use AppSheet to publish your app.

  8. 实验 精选

    Using the Google Cloud Speech API: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Using the Google Cloud Speech API quest. You should be familiar with the content of labs before attempting this lab.

  9. 实验 精选

    Get Started with Eventarc: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Get Started with Eventarc quest. You should be familiar with the content of labs before attempting this lab.

  10. 实验 精选

    Monitoring and Managing Bigtable Health and Performance

    In this lab, you monitor disk and CPU usage in a Bigtable instance, update an existing cluster to apply node autoscaling, implement replication in an instance, and back up and restore data in Bigtable.