Monitor AI workloads on Azure

  • Learning Path
  • 2 Modules

At a glance

This learning path is designed to help you build a strong foundation in monitoring and optimizing AI solutions deployed on Azure. You explore how to keep track of Azure AI services logs, assess the performance of AI applications using Azure Monitor, and learn the basics of monitoring AI models with Azure AI Foundry. By the end of this learning path, you gain the essential skills needed to ensure your AI applications are running efficiently and effectively, while understanding the tools available for comprehensive workload monitoring on Azure.

Prerequisites

  • Experience navigating the Azure portal
  • Familiarity with Microsoft Azure Monitor concepts like metrics and logs
  • Basic AI knowledge and familiarity with AI services on Azure

Modules in this learning path

Select, deploy, and evaluate Microsoft Foundry models

Explore how to select appropriate models from the model catalog using benchmarks, deploy them to endpoints, and evaluate their performance using manual and automated approaches in Microsoft Foundry portal.

Introduction to Azure Machine Learning monitoring

Learn how to monitor Azure Machine Learning deployments.

Start