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

    Set Up a Query-based Alert By Using MQL: Qwik Start

    Learn how to monitor an Apache Web Server installed on a Compute Engine virtual machine (VM) instance using Ops Agent.

  2. 实验 精选

    Fraud Detection on Financial Transactions with Machine Learning on Google Cloud

    Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.

  3. 实验 精选

    Detect and Investigate Threats with Security Command Center

    In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…

  4. 实验 精选

    GKE Backup and Restore

    GKE cluster backup and restore

  5. 实验 精选

    使用 Dataplex 进行数据质量评估

    本实验介绍如何使用 Dataplex 进行数据质量评估。

  6. 实验 精选

    HTTP Google Cloud Functions in Go

    In this lab you'll build an HTTP Cloud Function in Go.

  7. 实验 精选

    Deploying Redis Enterprise for GKE and Serverless App on GDCV on Bare Metal

    In this lab you will learn how to create Compute Engine VMs on Google Cloud to simulate GDVC on Bare Metal (BM) in high-availability mode, install Anthos Service Mesh and Knative on the GKE on Bare Metal cluster, deploy Redis Enterprise for GKE and a Serverless application, then run a load test.

  8. 实验 精选

    将 HTTP 负载均衡器与 Cloud Armor 结合使用

    利用全球后端配置 HTTP 负载均衡器、对负载均衡器执行压力测试,并使用 Cloud Armor 将压力测试 IP 地址列入拒绝名单。

  9. 实验 精选

    Set up a SIEM forwarder on a Linux Instance

    Install and configure a SIEM forwarder on a Linux host, then send sample logs using a file collector and observe the ingested logs in a live Chronicle environment.

  10. 实验 精选

    在 TensorFlow 中使用 MinDiff 来减轻不公平偏见

    本实验可帮助您了解如何充分利用 TensorFlow Model Remediation 库,使用该库中提供的 MinDiff 技术来减轻不公平偏见。