Unlike theoretical introductions to AI that focus purely on algorithms and proofs, EN.605.704 is explicitly designed to bridge the gap between academic knowledge and industrial application. The course focuses on the entire machine learning lifecycle: from data wrangling and feature engineering to model selection, deployment, monitoring, and ethical considerations.