[Python] Is the transition from Embedded Software Engineering into ML/AI too big? [closed]

I have a background mostly in low level embedded programming, the language that I know the most is C++ by far, then C and Python.

Recently I'd gotten into my university's PhD program and thinking of pursuing AI/ML for Biomedicine, I know that Python is mostly used for AI in the industry and also I'd probably have to learn some neural network concepts and also Python libraries (TensorFlow, Pythorch, etc)

So the question is - Do you guys think it's too of a jump? I don't know if going this route would involve too much time since the fields at first glance seems so vastly different?

I also been suffering from a very severe case of dry eyes (MGD) these past years and embedded softwware requires me to work at least part time on the office, which just burns my eyes to a point where it becomes unbearable, this is why I figured I’d rather go with a field that allows me to work more remotely and after doing some research in my options I guess AI/ML seems pretty interesting, but like I mentioned it does seems like a big jump at first, wouldn't you say?

Thanks

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