DATA ENGINEERING FOR AI

Catalog description

This course focuses on the data engineering and operational practices required to build dependable AI systems. Students build machine-learning-ready pipelines (batch and streaming), implement data quality and governance controls, design feature pipelines to ensure training/serving consistency, orchestrate workflows, and monitor data/model signals for drift and incidents. (3 credits) fall, spring, summer