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

    在 Cloud Run 上部署已集成 Gemini Pro 的 Streamlit 应用

    在本实验中,您将学习如何在 Cloud Run 上部署已集成 Gemini Pro 的 Streamlit 应用。

  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.