Just some thoughts, never took the course: These AI-Bootcamps can, i would expect, only complement existing skills. I think they are a bit misleading, since I

Just some thoughts, never took the course: These AI-Bootcamps can, i would expect, only complement existing skills. I think they are a bit misleading, since I expect the typical day to day work for the graduates to be more Data-Sciency than ML-engineer (I would expect the graduates to be quickly out of breath in a real ML-(research?) engineer position). The challenges in many Data-Science roles lie mostly in understanding the data and not in the algorithms. Domain-Knowledge is also very important in many Data-Science (especially non-big data related) roles. I think the day to day tasks of a lot of data-scientists are not what what you usually associate with "AI". Any real experience to validate/invalidate my thoughts?