Applied AI Engineering for Industry

3 credits · Undergraduate

AI systems using industry-standard platforms and tools for applications relevant to electrical and computer engineering. Pipeline automation, containerized deployment, model versioning, scalable inference, and cloud resource optimization using tools such as Microsoft Azure ML Studio, AWS SageMaker, and Google Vertex AI. No credit for students who have earned credit for ECE 5612. Prerequisites: CS 1100, 1101, 1105, or DS 1100; ECE/CS 2123 or ECE/CS 2281 or ME 2171 or BME 2900W or DS 3100 or CE 2200 or CHBE 2250. [3]