EGN 5216
Machine Learning for Artificial Intelligence Systems
This course aims to provide a framework to develop real-world machine learning systems that are deployed, reliable, and scalable. The focus of this course is to introduce basic modules of machine learning systems, namely, data management, data engineering, approaches to model selection, training, scaling, monitoring, and deploying to Machine Learning systems.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: ( MAC 2313 OR EQUIVALENT) AND ( MAS 4105 OR MAS 3114 OR EQUIVALENT) AND ( STA 4321 OR STA 3032 OR EQUIVALENT) and familiarity with at least one programming language (Python preferred).
Sources
- Course catalogue ↗2025-2026