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

    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.

  2. 实验 精选

    设置 Kubernetes 专用集群

    在云环境中创建专用集群的实操实验。在专用集群中,节点没有公共 IP 地址,因此工作负载在与互联网相隔离的环境中运行。前提条件:具备 Kubernetes Clusters 和 CIDR 范围 IP 地址方面的经验

  3. 实验 精选

    API Gateway: Qwik Start

    API Gateway enables you to provide secure access to your services through a well-defined REST API that is consistent across all of your services, regardless of service implementation

  4. 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.

  5. 实验 精选

    Cloud DNS - Traffic Steering using Geolocation Policy

    In this lab you will configure and test the Geolocation routing policy.

  6. 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.

  7. 实验 精选

    Hosting a Web App on Google Cloud Using Compute Engine - Azure

    In this lab, you will deploy and scale a Web App on Google Compute Engine.

  8. 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.

  9. 实验 精选

    Redacting Sensitive Data with the DLP API

    Redacting Sensitive Data with the DLP API

  10. 实验 精选

    Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

    In this lab you will learn how to create Data Twins for customers on Google Cloud or a different cloud service provider.