Machine Learning In Production

Carnegie Mellon professor redesigns ML course after AI could complete all homework

Christian Kästner, who teaches Machine Learning in Production at Carnegie Mellon, says he has overhauled most assessments in his course because AI agents can now complete take-home assignments convincingly. Instead of grading homework, he now focuses evaluation on TA interactions, exams, and video demonstrations, while keeping the course's core learning goals on engineering tradeoffs and teamwork largely unchanged. Students are permitted to use AI tools freely except during written and oral exams.