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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1211 条结果
  1. 实验 精选

    在 Cloud Run 部署已整合 Gemini Pro 的 Streamlit 應用程式

    在本研究室中,您將瞭解如何在 Cloud Run 部署已整合 Gemini Pro 的 Streamlit 應用程式。

  2. 实验 精选

    Introduction to Computer Vision with TensorFlow

    In this lab you create a computer vision model that can recognize items of clothing and then explore what affects the training model.

  3. 实验 精选

    Modularizing LookML Code with Extends

    In this lab, you learn how to modularize LookML code with Extends.

  4. 实验 精选

    App Dev: Storing Application Data in Cloud Datastore - Python

    In this lab, you will review the case study application, an online Quiz. You will store application data for the Quiz application in Cloud Datastore.

  5. 实验 精选

    Google AppSheet: Getting Started

    Learn how to use Google AppSheet to enable everyone in your organization to build and extend applications without coding.

  6. 实验 精选

    Integrate BigQuery Data and Google Workspace using Apps Script: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Integrate BigQuery Data and Google Workspace using Apps Script quests. You should be familiar with the content of labs before attempting this lab.

  7. 实验 精选

    Log Analytics on Google Cloud

    In this lab you will learn how to use Cloud Logging to analyze your logs.

  8. 实验 精选

    Creating and managing SQL pipelines

    Create a BigQuery schema

  9. 实验 精选

    Google Cloud Packet Mirroring with OpenSource IDS

    This lab demonstrates a common enterprise use case for Google Cloud's Packet Mirroring in conjunction with an Open Source Intrusion Detection System.

  10. 实验 精选

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Cloud Service Mesh

    In this lab you will install the Cloud Service Mesh, and deploy a resnet model, all on a GKE cluster.