DADS 7305 — Machine Learning Operations

4 semester hoursGraduateLecture

Focuses on the integration of machine learning with production-level infrastructure, emphasizing the full life cycle of model development, deployment, and monitoring. Highlights tools and best practices for scalable, reproducible, and automated ML operations. Covers continuous integration and delivery, containerization, orchestration, experiment tracking, and automated retraining using platforms such as TFX, MLflow, Airflow, Docker, Kubernetes, and Google Cloud Platform.

Prerequisites

• one of:
  • CS 5100 (min C)
  • CS 6120 (min C)
  • CS 6140 (min C)
  • CS 6180 (min C)
  • CS 6200 (min C)
  • CS 6220 (min C)
  • CS 7140 (min C)
  • CS 7150 (min C)
  • DADS 7275 (min C)
  • DADS 7650 (min C)
  • IE 7275 (min C)
  • IE 7300 (min C)
  • IE 7615 (min C)

Links

Official catalog (DADS course descriptions) · All DADS courses · Plan it at numap.app