Foundations of Applied Artificial Intelligence & Machine Learning

Catalog description

Develops practical skills in machine learning and applied AI, including key methods such as supervised and unsupervised learning, neural networks, and generative models. Students implement and evaluate models, apply feature engineering, and interpret AI results for business use. The course highlights how AI can support or limit decision-making in organizations, using applications and case studies for context.