Apr 12, 2026 · Day 1 of 30
Day 1: I'm diving into AI/ML no roadmap, just curiosity and daily commitment
AI is everywhere right now in the tools I use, the products I read about, the conversations I have with other developers. And I realised I want to go deeper than just using it. I want to understand how it actually works.
So today is Day 1. I'm starting my AI/ML learning journey in public, one post at a time.
Where I'm starting from
I know Python basics enough to be comfortable, not enough to feel like an expert. I've never trained a model or worked with real data in any serious way. That's exactly the starting point I want to document, because I think a lot of people are here too.
The plan: 15 minutes of learning every day. One honest post about what I explored, what I understood, and what still confuses me. 30 days, no skipping.
Why I'm doing this publicly
Writing forces me to actually understand something rather than just skim it. And sharing it means someone can point out when I've got it wrong which is honestly just as valuable as getting it right.
I'm not sure yet whether I'll end up most interested in NLP, computer vision, data science, or something else entirely. Part of what makes this exciting is that I genuinely don't know where it leads. I'm going to let the learning point the way.
What's coming next
Tomorrow I'll start with the actual fundamentals what machine learning is, how it differs from regular programming, and why that distinction matters. Small steps, but real ones.
If you're learning AI/ML too at any stage I'd love to have you follow along. And if you're further ahead, I'm all ears.
QUESTION FOR YOU
What's one resource a course, a book, a project idea that you'd recommend to someone starting AI/ML from scratch today?
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