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 Store, Process, and Manage Data on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud course. You should be familiar with the content of labs before attempting this lab.
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实验 精选 Creating and Populating a Bigtable Instance
In this lab, you create a Bigtable instance and table and then use a Dataflow template to populate the table from pre-generated data files on Cloud Storage.
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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.
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实验 精选 Gating Deployments with Binary Authorization
In this lab you will learn about the tools and techniques to secure deployed artifacts.
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实验 精选 Using Custom Fields in Looker Explores
In this lab, you will learn how to utilize custome fields in Looker Explores queries.
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实验 精选 Troubleshooting Data Models in Looker
In this lab, you learn how to troubleshoot and diagnose LookML code issues.
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实验 精选 Cloud Spanner - Loading Data and Performing Backups
In this lab, you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
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实验 精选 Caching and Datagroups with LookML
In this lab, you learn how caching works in Looker and explore how to use LookML objects called datagroups to define caching policies.
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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。