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

    Dataflow:Qwik Start - Python

    在本实验中,您将为 Dataflow 设置自己的 Python 开发环境(使用 Python 版 Apache Beam SDK),并运行一个 Dataflow 示例流水线。

  2. 实验 精选

    Generative AI: Cloud Architect Revision

    Arcade chatbot lab to learn about the Professional Cloud Architect

  3. 实验 精选

    Build an application to send Chat Prompts using the Gemini model

    In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to send text based chat prompts as an input and receive personalized streaming and non-streaming chat responses.

  4. 实验 精选

    Monitor and Manage Google Cloud Resources: Challenge Lab

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

  5. 实验 精选

    Configuring IAM Permissions with gcloud - AWS

    In this lab, you use the gcloud CLI tool to set up and configure command features of Cloud Identity and Access Management.

  6. 实验 精选

    Monitoring GKE with Datadog

    In this lab, you will learn how to Monitor GKE with Datadog.

  7. 实验 精选

    使用 BigQuery 构建数据仓库:实验室挑战赛

    此实验室挑战赛旨在检验您使用 BigQuery 构建数据仓库的技能。

  8. 实验 精选

    Adding an Apigee X Environment and Group

    In this lab, you add a new environment and environment group to an Apigee X evaluation org.

  9. 实验 精选

    Deploy and Manage Apigee X: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Deploy and Manage Apigee X course. You should be familiar with the content of the labs before attempting this lab.

  10. 实验 精选

    Visualizing Data with Looker Studio

    This lab demonstrates how to use Looker Studio to visualize data stored in Google BigQuery.