AI for Product Innovation Master of Engineering

In Duke’s Master of Engineering in AI for Product Innovation, you don’t just learn models—you learn how to turn them into market-ready products. You’ll blend AI, full-stack software, product strategy and responsible innovation, drawing on resources across Duke Engineering, Duke Law and Fuqua. As part of the Institute for Enterprise Engineering, you’ll plug into a broader ecosystem of computing, cybersecurity, fintech and engineering management—ideal preparation to lead AI initiatives, not just contribute to them.

From your first semester, you’ll work on projects that look like real jobs, not homework. Courses are built around shipping working prototypes, deploying models and creating a portfolio that proves what you can do. A dedicated Machine Learning focus trains you to design, test, deploy and monitor AI systems at scale. You’ll learn directly from industry practitioners, complete an internship or project and tackle a semester-long capstone with an external sponsor—so by graduation, you’ve already done the work you want to be hired for.

AIPI is intentionally small and collaborative, bringing together students from around the world with computer science, engineering, data and domain backgrounds. You’ll receive close mentorship from accomplished faculty and collaborate with peers who know your goals and push your thinking. 

Choose the format that fits your life—12- or 16-month on-campus or a 24-month part-time online option, with additional 4+1 and MD+MEng pathways. A pre-program online Python and data science bootcamp helps less traditional or non-CS students ramp up with confidence.

The AIPI program is a professional master’s degree that teaches you how to design and build applied artificial intelligence systems. Coursework and labs focus on the deployment and innovation side of AI through a combination of product development principles, machine learning methodologies and software engineering.

Duke’s masters in applied AI program consists of 30 credit hours, which you can complete on campus in just 12 to 16 months full time. As you gain valuable experience in AI and machine learning, you’ll also build a project portfolio as part of your capstone. 

For busier students, Duke offers a four-semester online graduate program that you can complete in 24 months while attending part time. This is a great option for working professionals who already hold a related degree but would like to learn new machine learning and artificial intelligence skills.

Most students come from engineering, math, computer science or related technical fields. If you have strong programming experience and quantitative skills, you can thrive in the AIPI program. We also offer a pre-program online Python and data science bootcamp to help less traditional or non-CS students ramp up with confidence.

Duke’s Master of Engineering in AI for Product Innovation is built around one goal: helping you create ethical AI-powered products. From day one, you’ll work on real projects that blend machine learning, MLOps, evaluation and product design so you graduate with a portfolio that employers can see and test.

And Duke ensures you know how to build AI systems that are safe, reliable and ethical. Faculty weave topics like bias, privacy, explainability and regulation into the technical curriculum, so you’re prepared to deploy AI that people can actually trust and use.