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!

过滤条件
全部清除
  • 徽章
  • 格式
  • 语言

1207 条结果
  1. 实验 精选

    Recover VMs with Google Backup and DR Service

    Use SCC reports to diagnose and remediate security issues

  2. 实验 精选

    Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab

    In this challenge lab you will train, deploy, and create a model pipeline using Vertex AI.

  3. 实验 精选

    Fundamentals of Cloud Logging

    In this hands-on lab, you learn how to use Cloud Logging to accumulate application logs in a single place, filter to reach the required log, understand how to create logs based metrics for advanced analysis, examine the audit logs use case, and export logs for compliance and/or advanced analysis needs.

  4. 实验 精选

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    AutoML Vision helps developers with limited ML expertise train high quality image recognition models. In this hands-on lab, you will learn how to train a custom model to recognize different types of clouds (cumulus, cumulonimbus, etc.).

  5. 实验 精选

    Managing Threat Intelligence with Cortex XSOAR

    Work on a real life threat hunting scenario to learn how to successfully manage your threat intelligence data with Cortex XSOAR TIM and automate response actions using threat intel management playbooks

  6. 实验 精选

    Datadog: Getting started with the Helm Chart

    In this lab, you will learn how to use the Datadog Helm Chart.

  7. 实验 精选

    Leveraging NetApp Cloud Volume ONTAP Remote Caching Capabilities for EDA Workloads

    In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP remote caching for EDA workloads.

  8. 实验 精选

    Supervised Fine Tuning with Gemini for Question & Answering

    In this lab, you will utilize fine-tuning with Gemini using the Vertex AI Supervised Tuning feature. Supervised Tuning allows you to use your training data to refine the base model's capabilities toward specific tasks.

  9. 实验 精选

    GKE Autopilot: Qwik Start

    GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.

  10. 实验 精选

    Using Role-based Access Control in Kubernetes Engine

    After provisioning two service accounts to represent user personas and three namespaces for dev, test, and prod, you will test the access controls of the personals in each namespace.