Monitor AI workloads on Azure
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
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Modules in this learning path
Azure AI services enable you to integrate artificial intelligence into your applications and services. It's important to be able to monitor Azure AI Services in order to track utilization, determine trends, and detect and troubleshoot issues.
Evaluating copilots is essential to ensure your generative AI applications meet user needs, provide accurate responses, and continuously improve over time. Discover how to assess and optimize the performance of your generative AI applications using the tools and features available in the Azure AI Studio.
Learn how to monitor Azure Machine Learning deployments.