2Explore Data and Train Models

• 2.1Running and Tracking Jobs (MLflow)

  Understand training models with Azure ML jobs (command/sweep/pipeline), tracking metrics/parameters/artifacts via MLflow, environments (dependencies), and reuse via components.

• 2.2AutoML and Hyperparameter Tuning

  Understand AutoML for automated model search, hyperparameter tuning (sweep jobs)—search space, sampling, early termination—and evaluation metrics/model selection. Find the best model efficiently.