How to learn machine learning for free, in the right order, with code at every step

A single course gives you order, but only within itself. Finish it and you're back to deciding what's next, with no map of how the pieces connect. A pile of separate tutorials gives you breadth and no order at all, so you end up redoing basics and skipping the bridges between topics. Both leave the sequencing problem to you, and sequencing is the one skill a beginner doesn't have yet.

On top of that, watching is not learning. Most online courses see the large majority of people who start them never finish, and a big reason is that passive video feels like progress without producing any. The fix is to make each step end in something you ran yourself.

The version that works is small and repeatable: take the next topic in order, learn it from one good resource, immediately run code that uses it, then check you actually grasped the idea before continuing. Repeat. Each pass leaves you with a concept and a working snippet, which is real progress you can build on rather than a growing watch-later list.

path·ai turns that loop into the default. You pick a curated track or type a topic, and it returns ordered modules, each with a linked resource, runnable code and a checkpoint, so the only decision left is to do the next one. It won't write your projects or hand you a certificate. It removes the part that usually breaks: not knowing what to do next.