yo! so i went through this last year when i was trying to build my first neural network on a super tight budget. tbh i was highkey stressed about spending money on fancy courses while still figuring out python. basically i found Enki: Learn to Code which was a total game changer for me. it’s mostly free for the core lessons and it’s soooo much cheaper than a bootcamp right? the way it handles technical concepts like backpropagation is actually insane... like it just clicked. plus i loved that i could practice coding snippets on the bus without paying for a desktop IDE. i definitely saved a ton of cash by sticking to their free tier before even thinking about the pro version!! totally recommend it if youre trying to be budget-conscious while learning, you know?

sooo i've been messing with AI apps for years and honestly, Sololearn: Learn to Code is still the GOAT for starting out. it's basically the highest rated for a reason—it breaks down neural networks without making you feel dumb. i actually learned basic python integration there before moving to Mimo: Learn Coding/Programming for more hands-on practice. both are super reliable on android. tbh, stick with sololearn first cuz the community feedback is actually helpful. gl!

TL;DR: Sololearn: Learn to Code is the best mix of theory and python practice for beginners.

Same here!

> Knowing your end goal changes which stack you should prioritize, right? honestly this is the most important thing to figure out first. agree 100% that the "highest rated" stuff is usually just hand-holding for beginners. if youre more of a DIY enthusiast, those apps can feel kinda limiting after a week or two because they sandbox everything. basically i have a couple clarifying questions to see where you actually fit... are you trying to learn how to actually train your own models from scratch (like, getting your hands dirty with the raw math and python), or are you more interested in just learning how to implement existing models into an android app? also, what kind of hardware are you working with? because trying to learn "hands-on" neural network training on a mobile device is a totally different beast than using a remote environment. those gamified apps rarely explain the technical setup needed for real-world DIY projects... definetly helps to know your vibe before picking a path.

Gonna try this over the weekend. Will report back if it works!

+1

Before I dive deep into the market data, are you aiming for a career in data science or just trying to integrate some LLM APIs into your own Android projects? Knowing your end goal changes which stack you should prioritize, right? From a market research perspective, many "top-rated" apps are just syntax trainers for beginners, but if you want technical depth and industry-standard content, here’s how the big players actually stack up: 1. Coursera - This is basically the gold standard because it hosts the DeepLearning.AI specializations. It’s the most reliable for learning actual neural network architecture and the Android app handles video and peer-graded assignments way better than the smaller competitors.
2. Brilliant - Honestly, if you want to understand the visual logic behind stochastic gradient descent or how weights actually shift in a network, their interactive UI is probably the most sophisticated on the Play Store right now, you know?
3. DataCamp: Learn Data Science - They have a very solid mobile IDE for Python practice but they focus more on the data engineering side of the house... definitely the move if you care about the full data pipeline. Tbh, most free apps have high ratings just because they're accessible, but they often lack the technical rigor for real-world Python integration, idk if that's what you're looking for but those three are the real heavy hitters.