On-demand activities
Google Cloud 根據您的需求規劃了全方位的課程內容，內含超過 980 項學習活動，並涵蓋多種活動型態，您可自由選擇。您可以選擇簡短的個別研究室，或是包含影片、文件、研究室和測驗的多單元課程。在研究室中，您可以透過臨時憑證實際使用雲端資源，直接累積 Google Cloud 實作經驗。完成課程可獲得徽章，讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果！
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实验 精选 Recover VMs with Google Backup and DR Service
Use SCC reports to diagnose and remediate security issues
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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.
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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.
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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.).
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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
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实验 精选 Datadog: Getting started with the Helm Chart
In this lab, you will learn how to use the Datadog Helm Chart.
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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.
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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.
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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.
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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.