Systems, Hardware, and Data Harvesting for AI Engineering

3 credits · Graduate School

Practical and theoretical foundations of deployment of AI systems on embedded systems. Emphasis on data collection (data harvesting), edge-device deployment, system integration, and end-to-end pipeline design for real-world AI applications. No credit for students who have earned credit for ECE 4604. [3]