Deep Learning for AI Engineers

Catalog description

This course develops students ’ ability to design, optimize, and evaluate deep learning solutions for engineering applications. Learners apply deep neural network architectures to domains such as computer vision and natural language processing, using optimization and fine‑tuning techniques to improve model performance. The course emphasizes evaluating computational, architectural, and deployment tradeoffs, including hardware constraints and scalability considerations, to support effective and responsible model deployment. Through applied activities, learners demonstrate engineering judgment in selecting models, frameworks, and optimization strategies that meet specified technical and operational requirements.