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hi! i've been an AI engineer for the past 4 years and wanted to think about how I would relearn the field if I were to start over. most of the other AI roadmaps I've seen were theoretical in nature, and I wanted mine to be project-based. Let me know what you think and how it can be improved!
Show HN is for things that can be tried out which excludes most reading material, take a look at https://news.ycombinator.com/showhn.html

You can post this without the Show HN and/or just edit it out of the title.

I appreciate the effort, but I do question for whom this is actually useful. The way I see it, you can either be a software engineer, or a machine learning (data?) engineer. Anyone who does both is actually only good at one, and "hacking" the other.
Great resource, curious if this comes from your own experiences? Also is this intended to help land a job as an AI engineer or is it more for personal projects?
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