Microsoft Learn - Hands On Exercises The following hands-on exercises are designed to support Microsoft Learn training. Explore the Azure Machine Learning workspace Explore developer tools for workspace interaction Make data available in Azure Machine Learning Work with compute resources in Azure Machine Learning Work with environments in Azure Machine Learning Train a model with the Azure Machine Learning Designer Find the best classification model with Automated Machine Learning Track model training in notebooks with MLflow Run a training script as a command job in Azure Machine Learning Use MLflow to track training jobs Perform hyperparameter tuning with a sweep job Run pipelines in Azure Machine Learning Create and explore the Responsible AI dashboard Log and register models with MLflow Deploy a model to a batch endpoint Deploy a model to a managed online endpoint