Starting out with AI can feel a little confusing there’s just so much out there, and it’s hard to tell what actually matters in the beginning. What helped me is to just begin with the basics. Learn some Python, get a rough idea of how data works, maybe brush up on simple statistics. You don’t need to get everything perfect before moving on. Once you are a bit comfortable, try exploring machine learning concepts and, more importantly, actually building small projects that’s where things start to make sense.
One thing I noticed, though, is that jumping between random tutorials can slow you down more than help. Having some kind of structure even a loose one makes a big difference. If you’re trying to learn AI online, you might want to look into H2K Infosys. Their approach is pretty straightforward and beginner-focused, and they include practical work that makes the learning feel less abstract and more, well usable in real situations.