I know very little so please don't mind a lot of stupid questions.
I want to do my masters in AI/ML but afraid that it will be difficult for me to understand. I am not a bright student and struggle with understanding maths a lot. how much maths does an average AI/ML person do in their job? what things I should keep in mind while learning AI/ML?
does whole AI/ML landscape has been taken over by LLMs? I have seen a lot of people complaining about CEOs shoving LLM every where instead of just a simple ML model.
what does AI/ML people do exactly? I mean what are their roles? does the most important task for an AI/ML person is to decide which model to use or is it preparing the data or understanding the requirements?
I simply chose my field based on what I knew I enjoyed. I already had a job with working in systems, and I had HPC/FPGA experience from undergrad. Basically, I choose topics that I had at least a basic understanding and desired to expand into mastery.
I will be honest and say I don't think you've really thought this through. I would really weigh the pros and cons of the degree. Think about what you'd do instead of pursuing a degree. Identify a specific job you would want after you get your degree. If you only want to teach, you could be an instructor at a University, but the pay will not be good. If you want to do research, doing reaearch at a university level will require a PhD. Research centers will hire MS holders, but as engineers rather than researchers. If you want an industry job, make sure you actually need the degree you are thinking of getting.
For 99% of people, carrying on with the degree they have is the better choice. In your case I'd either make sure you consider the above or only pursue a master's if you truly cannot get the job you want with self-teaching.
I have time till july to think about this as you suggested. will make a post if I have chosen going in a particular direction.
Thank you so much for your advice.