AI Engineering is a nascent field leveraging the traditional strengths of engineering disciplines with developments in artificial intelligence (AI). The term was coined by the NSF Engineering Research Visioning Alliance (ERVA), Report | AI Engineering: A Strategic Research Framework to Benefit Society. As the report highlights “AI Engineering will be bidirectional and reciprocal: it evokes a future vision in which an engineering approach makes for better AI while AI makes for better-engineered systems." 

The report coins the term AI Engineering as an amalgamation of topics in "Engineering for AI" and "AI for Engineering." Engineering for AI integrates engineering techniques and domain knowledge across various disciplines to develop explainable and reliable AI-enabled systems. AI for Engineering, on the other hand, utilizes AI to enhance computational efficiency, automation, creativity, and scalability in engineered systems and processes.

Our college-wide collaborative AI Engineering Graduate Certificate is designed to meet the immediate and urgent demands of a transitioning industry landscape.  View the requirements and curriculum.