Use notebooks for custom model training: Track model training by using MLflow

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

• Run training scripts and track models with MLflow in Azure Machine Learning
• Train and track machine learning models with MLflow in Microsoft Fabric
• Automate model training with GitHub Actions
• Introduction to using Managed Identity to authenticate to Azure OpenAI in Microsoft Foundry Models with .NET
• Challenge Project — Create a Business Model for your startup using Microsoft Copilot
• Generate batch predictions using a deployed model in Microsoft Fabric
• Build your first data model and explore the data by using Power BI - Online workshop
• Object detection on Edge devices with Live Video Analytics using YOLO model
• Create a threat model using data-flow diagram elements
• Customize views and forms for model-driven apps