What people who have been through the courses say.

"The part I found most valuable was the code review. I had implemented gradient descent before from tutorials but nobody had ever told me what I was doing wrong. Azrul's comment on my week-four submission was the first time I actually understood why my learning rate choices were off."

Foundations course · June 2025

"I found the first two weeks harder than the effort estimate suggested, because my linear algebra was rustier than I had assumed. The self-check quiz was accurate — I just had not been honest with myself when I took it. Once I caught up, weeks three through eight were manageable."

Foundations course · April 2025

"The distributed training module in the deep learning course moved fast. I had to revisit the material twice before the assignment made sense. That said, the office hours were useful — Siti answered my question about the NCCL backend in a way I could not find anywhere else."

Deep Learning course · May 2025

"Coming from infrastructure, the course bridged a gap I had not been able to close on my own. The serving layer week in the residency was the most directly useful material I have studied in three years. Four stars rather than five because the evaluation harness documentation could be clearer."

Applied AI Residency · March 2025

"The reproducibility requirement was something I initially found annoying but came to see as the most useful discipline the course imposed. By the end I could not imagine submitting results without it. The code review on the second open-ended project was particularly detailed."

Deep Learning course · June 2025

"The model risk and data provenance sessions in the residency are not something I had seen treated seriously anywhere else. The material was delivered by someone who had actually dealt with dataset consent issues at scale, which made the conversation different from what you get in academic settings."

Applied AI Residency · April 2025