On-demand activities

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

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1184 条结果
  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.