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 Predict Baby Weight with TensorFlow on Vertex AI
In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.
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实验 精选 Working with Artifact Registry
Artifact Registry is a single place to manage container images and language packages, and is fully integrated with Google Cloud tooling and and runtimes. This makes it simple to integrate it with your CI/CD tooling to set up automated pipelines.
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实验 精选 Preparing and Aggregating Data for Visualizations using Cloud Dataprep
Dataprep by Alteryx is Google's self-service data preparation tool built in collaboration with Alteryx. In this lab you will learn some more advanced techniques with Dataprep.
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实验 精选 Manage Multi-cluster Workloads at Scale with GKE Fleets and Teams
Provision and manage infrastructure resources for different teams with GKE Enterprise's fleet team management features
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实验 精选 Redacting Confidential Data within your Pipelines in Cloud Data Fusion
In this lab you wil learn how to use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.
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实验 精选 Exploring the Lineage of Data with Cloud Data Fusion
This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.
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实验 精选 在 Compute Engine 上实现负载均衡：实验室挑战赛
此实验室挑战赛旨在检验您通过在 Compute Engine 上实现负载均衡技能徽章课程的各个实验所掌握的技能和知识。在尝试此挑战赛之前，您应该先熟悉各个实验的内容。
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实验 精选 Cloud Composer：跨不同位置复制 BigQuery 表
在本实验中，您将在 Cloud Composer 中创建并运行 Apache Airflow 工作流，以将位于美国 Cloud Storage 存储桶中 BigQuery 数据集中的表导出到位于欧盟的存储桶，然后将这些表导入位于欧盟的 BigQuery 数据集。
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实验 精选 Rent-a-VM to Process Earthquake Data
In this lab you spin up a virtual machine, configure its security, access it remotely, and then carry out the steps of an ingest-transform-and-publish data pipeline manually. This lab is part of a series of labs on processing scientific data.