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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1203 条结果
  1. 实验 精选

    Set up a SIEM forwarder for Windows on Docker

    In this lab, you configure a SIEM forwarder on a Windows VM using a standard Docker image. You use labels to add searchable metadata to the logs to optimize analytical capabilities.

  2. 实验 精选

    Uptraining with Document AI Workbench

    In this lab, you will will create an Invoice Parser processor, configure the processor for uptraining, label example documents, and uptrain the processor.

  3. 实验 精选

    Secure Software Supply Chain: Using Cloud Build & Cloud Deploy to Deploy Containerized Applications

    In this lab you will use Cloud Build to create a containerized "Hello, World!" application, store the container in Artifact Registry, and deploy the contianer to Cloud Run.

  4. 实验 精选

    Collect, process, and store data in BigQuery

    Create and import data in BigQuery

  5. 实验 精选

    Configure Device Settings for Users on ChromeOS

    In this lab, you'll configure device settings for Users on ChromeOS.

  6. 实验 精选

    使用多模态 Gemini 和多模态 RAG 检查富文档:实验室挑战赛

    本实验将考查您以下方面的知识:使用多模态提示从文本数据和视觉数据中提取信息、将多模态检索增强生成 (RAG) 与 Gemini 配合使用,以获取所有相关文本并输出引用。

  7. 实验 精选

    Building Batch Pipelines in Cloud Data Fusion

    This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that…

  8. 实验 精选

    GKE Backup and Restore

    GKE cluster backup and restore

  9. 实验 精选

    开始使用 Vector Search 和嵌入

    在本实验中,您将使用文本嵌入和 Vertex AI Vector Search,根据文本内容查找相似文档。

  10. 实验 精选

    Modernizing Applications with Apigee X

    In this lab, you deploy a backend service on Cloud Run. The backend service implements a REST API for a bank, storing customers, accounts, ATMs, and transactions in a Firestore database. You create a shared flow that retrieves and caches content from an external service. You then call that shared flow from your AP…