Hey everyone! I'm a first-year Computer Science student just starting to explore the tech world. I'm currently digging into the fundamentals and trying out different areas to see what fits me best. I've noticed that AI and machine learning are massive topics right now, and almost everyone keeps saying how essential they are for the future job market. However, I'm not genuinely interested in working in AI at this point; my interests lean more towards back-end development, systems, or data work, though I'm still figuring things out. My question is, do you think it's beneficial for me to start learning AI and ML even if it's not something I see myself pursuing? Or should I focus more on what I currently enjoy and only circle back to AI if it becomes necessary for a job or project? Thanks for any insights you can share!
2 Answers
If AI isn't your thing, I wouldn’t force it as your main focus. Most programming jobs won’t demand deep knowledge in AI unless you get into specific fields. It's good to know that it exists, but if you’re more passionate about back-end work or systems, stick with that for now. You can always learn AI later if it becomes relevant for a project or job.
Honestly, I think the answer is always yes when it comes to learning something new! But I get it; you can't learn everything at once. Just make sure whatever you choose to focus on aligns with your passion. AI is useful, but if you prioritize your interests now, you might find yourself more motivated to learn efficiently!
You make a good point! I just don’t want to miss out on opportunities by not learning it sooner. Maybe a balance would be best.
Totally agree! Plus, having a strong base in something you like is way more beneficial than just learning for the sake of it.