r/wgu_devs • u/canarydev • 2d ago
AI Engineering vs SWE vs CS, from someone who did the SWE degree and has been on both sides of hiring
i’ve seen a lot of posts and discussions about switching to the new AI engineering degree, so wanted to share some perspective.
for context, i got my SWE degree from WGU while already working in the field. 8 years total now, been both an engineering manager and a senior IC, so ive done the hiring side and the building side.
first, AI engineering is not ML research. its mostly SWE. youre building apps that integrate models, deploying them, keeping them running. theres some ML and a math course, but youre not going deep into theory. so dont think of the AI degree as better or worse than SWE. its basically the same job with a different title. the keyword might help you on a resume, but it wont protect you from layoffs any more than SWE will.
and fwiw i say this as someone who has trained and shipped my own models with ONNX, using an LLM as a judge and labeler with a human in the loop. none of that needed an AI degree. its applied engineering, and you can learn it on top of SWE or CS.
if youre genuinely torn, get the CS degree instead. it carries far more weight and its what most filters and hiring managers recognize by default.
having done the SWE program myself, the course depth honestly isnt great. it does NOT teach you full stack. finishing the program doesnt make you full stack, so stop labeling yourself that way. anyone interviewing you will figure out pretty fast what that actually means.
and to be clear, CS wont teach you the job either. no degree does. software engineering isnt about stitching tools together. its about owning what you put out there. knowing when something fails, why it failed, and how to respond. observability, monitoring, thinking in failure modes. thats what separates people long term, and almost none of it is in any curriculum.
the degree gets you past the filter. everything after that is on you.