Use notebooks for custom model training: Evaluate a model, including responsible AI guidelines

Build evidence for this objective

Learn the concept across structured materials, then test it through adaptive questions and applied scenarios. Your results contribute to an objective-level mastery view and your next recommended action.

Official references

• Train and evaluate classification models
• Train and evaluate deep learning models
• Evaluate language models with Azure Databricks
• Review responsible AI principles for language models in Azure Databricks
• Select, deploy, and evaluate Microsoft Foundry models
• Train and evaluate clustering models
• Train and evaluate regression models
• Customize views and forms for model-driven apps
• Train and track machine learning models with MLflow in Microsoft Fabric
• Get started with Microsoft AI models in Foundry