What you'll learn

Prepare data, detect statistical data biases, perform feature engineering at scale to train models, & train, evaluate, & tune models with AutoML

Store & manage ML features using a feature store, & debug, profile, tune, & evaluate models while tracking data lineage and model artifacts

Build, deploy, monitor, & operationalize end-to-end machine learning pipelines

Build data labeling and human-in-the-loop pipelines to improve model performance with human intelligence