A few months ago, I had no idea where to start with AI. Every post online was promising a shortcut or a “guaranteed” path. None of it felt real. So I ignored the noise and started with a simple machine learning course. Not because I wanted a fancy title. I just wanted to understand what’s actually happening behind the scenes when people talk about AI. What surprised me was this: most of artificial intelligence is just basics done well. Understanding data. Training models. Figuring out why something works and why it doesn’t. As I kept learning, I realized something important. An AI certification only makes sense after you build a foundation. Without that, it’s just a line on your profile. It doesn’t give you real confidence. I’m still learning. I still get stuck. But I’ve learned that machine learning isn’t magic. It’s not only for geniuses. It’s a skill you build slowly by making mistakes, revisiting concepts, and practicing in small ways. Once I stopped chasing hype and focused on learning properly, everything felt less overwhelming. If you’re exploring AI right now especially as a beginner or career switcher you’re not behind. You’re not alone. Many of us are just trying to figure out what actually matters and what’s just noise. submitted by /u/Visible-Ad-2482
Originally posted by u/Visible-Ad-2482 on r/ArtificialInteligence
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