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

    Google Cloud SDK: Qwik Start - Redhat/Centos

    In this hands-on lab you will learn how to perform basic tasks in Cloud Storage using the gcloud command-line tool. For a short preview, watch Cloud SDK - Essential Command-Line Tools for Google Cloud Platform.

  2. 实验 精选

    Configuring IAM Permissions with gCloud - Azure

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

  3. 实验 精选

    Design Conversational Flows for your Agent

    Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational interface.

  4. 实验 精选

    Integrate Private Service Connect with Service Directory

    This lab demonstrates how to integrate PSC and Service Directory.

  5. 实验 精选

    Responding to Cloud Logging Messages with Cloud Functions

    In this lab you will learn how to use Cloud Functions to do lightweight processing of Cloud Logging messages

  6. 实验 精选

    Cloud Functions 监控与日志记录

    使用 Cloud Monitoring 在 Google Cloud 控制台中查看 Cloud Functions 函数的详细信息,并使用 Cloud Logging 查看您的 Cloud Functions 函数的数据。

  7. 实验 精选

    Configuring Private Google Access and Cloud NAT

    In this lab, you configure Private Google Access and Cloud NAT for a VM instance that doesn't have an external IP address. Then, you verify access to public IP addresses of Google APIs and services and other connections to the internet.

  8. 实验 精选

    HTTPS Content-Based Load Balancer with Terraform

    This lab shows you how to create a HTTPS load balancer to forward traffic to a custom URL map, which then sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket.

  9. 实验 精选

    Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

    In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictio…

  10. 实验 精选

    使用 Dataflow 和 BigQuery (Python) 在 Google Cloud 上进行 ETL 处理

    在本实验中,您将构建几个数据流水线,以便将可公开访问的数据集中的数据注入到 BigQuery 中并进行转换。