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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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.
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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.
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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.
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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.
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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.
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实验 精选 Deploy a Modern Web App connected to a Cloud Spanner Instance
In this lab, you build and deploy a Node.js application connected to a Cloud Spanner instance. The Node.js application is a stock price visualization tool named OmegaTrade. The OmegaTrade application stores stock prices in Cloud Spanner and renders visualizations using Google Charts.
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实验 精选 Visualizing Data with Looker Studio
This lab demonstrates how to use Looker Studio to visualize data stored in Google BigQuery.
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实验 精选 Automate Data Capture at Scale with Document AI: Challenge Lab
This is a challenge lab based on Automate Data Capture at Scale with Document AI course, where the user complete a series of tasks within a limited time period.