Design a machine learning solution: Select the development approach to train a model

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 track machine learning models with MLflow in Microsoft Fabric
• Train a machine learning model in Azure Databricks
• Run training scripts and track models with MLflow in Azure Machine Learning
• Understand the Transformer architecture and explore large language models in Azure Machine Learning
• Train and evaluate deep learning models
• Train deep learning models in Azure Databricks
• Get started with machine learning in Azure
• Deploy and monitor a model in Azure Machine Learning
• Perform hyperparameter tuning with Azure Machine Learning
• Automate model training with GitHub Actions