Suggested Paths

For beginners, the biggest risk isn't picking the "wrong" topic — it's overwhelm and quitting. Pick a goal, follow the order. Each track starts from a shared Python + CS + Math foundation.

Everyone starts here

Foundation · ~3 months part-time

Everyone starts here. Python builds confidence fast because you see results immediately; CS gives you the vocabulary every other course assumes; Math is a slow background drip — not a blocker.

1
Python
Programming Languages · Beginner · 1,289 lessons
First language. Quick wins build the habit before anything harder.
Start course →
2
Computer Science
Foundations · Intermediate · 2,872 lessons
Light pass — variables, functions, data structures, complexity. The vocabulary downstream courses assume.
Start course →
3
Mathematics
Foundations · Beginner · 3,121 lessons
Background drip: discrete logic, basic stats, a touch of linear algebra. Don't wait to finish before moving on.
Start course →

Then pick a track

Web Developer Data / ML Backend / Infrastructure AI Engineer (product)

Web Developer

~6–9 months part-time after foundation

The fastest 'I can show my parents what I built' path. Highest visible payoff early, which matters enormously for retention.

Beginner-protection rules

Apply these regardless of which track you pick.

Don't wait to finish Math before moving on — keep it as a background track.
Ship one real app before circling back to Security and System Design.
Don't rush ML/DL — without stats, you'll run libraries you can't reason about.
Pick one language at a time. Switching too early kills momentum.
Pick a track and commit for at least a month before second-guessing it. Overwhelm and quitting are the real risks — not picking the 'wrong' path.

Want to skip around instead? Browse all courses.

Suggested Paths

Everyone starts here

Python

Computer Science

Mathematics

Then pick a track

Web Developer

Software Engineering

JavaScript

Web Development

TypeScript

React

Cloud and Infrastructure

Beginner-protection rules