16/02/2026 6:00 pm
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Hey everyone! I’ve finally decided to stop just talking about AI and actually start learning how it works. The problem is, every time I search for "how to learn AI," I get hit with a million different bootcamps, $1,000 courses, or super dense academic papers that honestly look like another language to me. It's honestly a bit overwhelming trying to figure out where the 'start' button even is.
I’m looking for something much more accessible—specifically a mobile app. Since I spend a good chunk of my day commuting on the bus (about 45 minutes each way), I’d love to use that time productively instead of just scrolling through social media. I’m a total beginner here; my background is actually in graphic design, so my math skills are a little rusty, to say the least. I really need something that explains the "why" and "how" of things like neural networks and machine learning in plain English before diving into anything too technical or heavy on the calculus.
I’ve looked at a couple of options like Brilliant and Enki, but I’m not sure if they’re the gold standard for AI specifically or if they just have a few basic "intro" modules. I’m particularly interested in understanding how Large Language Models (LLMs) are trained and maybe even a bit of basic Python if that’s necessary to get a foot in the door. I don't need to become a high-level data scientist overnight, but I’d love to feel like I actually know what’s going on under the hood when I use these tools at work.
Has anyone here used an app that really clicked for them? I’m looking for something interactive—maybe with gamified quizzes or small coding challenges—rather than just reading walls of text. Budget isn't a huge issue if the app is actually worth the subscription, but I'd love to hear some honest pros and cons.
Which app would you recommend for someone who is starting from absolute scratch but wants a solid, structured foundation?
8 Answers
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16/02/2026 6:45 pm
So basically the consensus is that visual learning beats dry papers every time, especially for designers! Since budget matters, skip those $1k bootcamps. Here's the play: 1. Sololearn has a free tier that's actually GREAT for Python basics.
2. Mimo is super gamified for coding on the bus.
3. DataCamp: Learn Data Science has excellent bite-sized mobile modules. Free tiers are highkey the way to start tho! Peace.
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16/02/2026 6:00 pm
Sooo, I totally feel u on the "wall of text" struggle. When I first tried digging into LLM architecture on my commute, I literally almost fell asleep over a dry whitepaper lol. Since ur a designer, you'll probably appreciate a more visual approach over raw calculus. Here's what actually clicked for me: * Brilliant Premium is 100% the gold standard here. Their "Introduction to Neural Networks" and "Large Language Models" courses are super interactive. They explain the "why" using logic puzzles rather than scary equations.
* For the Python side, I'd go with Mimo: Learn Coding/Python/AI. It's basically Duolingo for code—perfect for those 45-minute bus rides cuz it's all bite-sized challenges.
* Enki: Learn AI, Coding, Data is decent, but honestly, it feels more like flashcards and can be a bit shallow. Basically, I learned u don't need to be a math whiz to get the "under the hood" logic. Just stick to the visual stuff first. gl!
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16/02/2026 6:35 pm
Same setup here, love it
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06/03/2026 8:50 pm
I totally agree with the others about avoiding those crazy expensive bootcamps. Honestly, they are usually a total ripoff for beginners. Over the years, I have tried almost every platform out there, and while Brilliant is great for the logic side, it sometimes misses the broader industry context you might need as a designer. If you want a more structured, professional route that still works on a bus, I would suggest:
- Coursera Plus Subscription
- Khan Academy Mobile App In my experience, the Coursera app is way better for long commutes because you can download the lectures and watch them offline when the bus connection acts up. It feels a bit more serious than Mimo or Sololearn, which can sometimes feel a bit too much like a game and not enough like actual learning. DeepLearning.AI AI For Everyone is probably the specific course you should start with tho... it explains the high-level stuff without making you do calculus. Definitely worth a look if you want a solid foundation without the massive price tag.
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29/03/2026 3:52 pm
I agree with @loixsrovqr regarding the poor mobile UX on many of these platforms. Unfortunately, most beginner apps focus so much on gamification that they completely ignore the performance and optimization side of things. I have had issues with the lack of technical rigor in the popular suggestions so far—they just dont prepare you for the actual resource demands of a transformer model. Quick tips for your commute:
- Use Pydroid 3
- IDE for Python 3 to practice script execution locally on your device.
- Check out Educative.io Interactive Courses for a more structured, performance-focused curriculum that actually works in a mobile browser. The why matters, but you wont understand the how until you see where these models actually break under load. Gamified quizzes are fine for learning vocabulary, but they rarely teach you the logic of a neural network's backpropagation.
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26/03/2026 11:51 am
Can confirm this works. Did the same thing on mine and its been solid ever since.
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20/02/2026 10:45 pm
Following this thread
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09/03/2026 4:50 am
@Reply #5 - good point! Coursera is solid for that structured vibe, but just be careful because some of their mobile stuff feels like a desktop site crammed into a phone. Since youre coming from a design background, I would suggest looking into some more visual-first platforms that let you tinker while you learn. Quick tips for the commute:
- Programming Hero Coding Fun is basically a game. Its great for Python because it doesnt feel like homework and works well in short bursts.
- Check LinkedIn Learning Mobile App through your local library. Most people forget they can get this for free, and they have specific tracks for AI in the creative industry that might speak your language better than a generic data science course. I really think you should be careful about getting bogged down in the heavy math stuff early on. It can really kill your motivation. Just focus on the logic of how the data flows and the rest kinda clicks eventually. I'm happy to point you toward some visual docs if you get stuck!
