AIPI 505
Mid-Program Residency
Jon J. Reifschneider
Description from DukeHub
One week course to assess interim progress for the Master of Engineering in AI for Product Innovation Online Program. Residency 2 includes team-building exercises, case studies, workshops, seminars and engagement opportunities. Prerequisite: Enrollment in the Master of Engineering in AI for Product Innovation Online Program, AIPI 504.
Skills
- programmingdepartment: AIPI
- ai and machine learningdepartment: AIPI
AI-resilient: 1 of 5
- No: Physical, lab or field work
- Yes: Live work with people · "team"
- No: Judgment someone is accountable for
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
More in AIPI
- Introductory Residency AIPI 504
- Optimization in Practice AIPI 530
- Deep Learning Applications AIPI 540
- Capstone Practicum 1 AIPI 549
- Reinforcement Learning AIPI 590-01
- Applied Computer Vision AIPI 590-03