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 Automatically Deploy Python Web Apps from Version Control to Cloud Run
Learn how to automatically deploy your changes from version control to Cloud Run
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实验 精选 Block.one: Getting Started with The EOSIO Blockchain
In this lab, you create a virtual machine (VM) to host an EOSIO blockchain.
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实验 精选 Data Analysis with the FraudFinder Workshop
FraudFinder is a series of JupyterLabs that show how to implement an end-to-end Data to AI architecture works on Google Cloud, through a toy use case of real-time fraud detection system.
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实验 精选 Exploring NCAA Data with BigQuery
Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.
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实验 精选 Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster
In this lab, you create a complete turn-key High Performance Computing (HPC) environment in Google Cloud.
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实验 精选 Scaling Microservices Applications: Migration to Redis Enterprise on Google Cloud
In this lab, you will deploy a fully functioning microservices e-Commerce website application on Google Cloud using Redis to run the shopping cart service and then migrate that to Redis Enterprise for scalability and high availability.
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实验 精选 Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors
In this lab you will explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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实验 精选 Integrate Search in Applications using Vertex AI Agent Builder
This lab is part of a series designed to provide hands-on experience with Generative AI on Google Cloud.
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实验 精选 Hardening Default GKE Cluster Configurations
This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation