Learning paths

The hardest part of learning AI on your own is not the maths. It is not knowing what to read next. A path fixes that: an ordered list of lessons, first to last, aimed at one job.

Every path here is put together by Pranay Mahendrakar.

3 paths Free, no sign-up

Become an ML Developer

From zero programming to training and evaluating real models.
1. Python basics
2. NumPy
3. Pandas
4. Statistics
5. and 6 more
10 lessons See the path Start now
Become an AI Engineer

Build production applications on top of large language models.
1. Python basics
2. What is machine learning?
3. What is a neural network?
4. Transformers
5. and 7 more
11 lessons See the path Start now
Become a Computer Vision Engineer

Work with images and video, from OpenCV to vision transformers.
1. Python basics
2. NumPy
3. How images are stored in a computer
4. OpenCV
5. and 6 more
10 lessons See the path Start now

Not sure which one?

Pick the one whose job title you would like on your CV in a year. You can switch later — the paths overlap a lot, and nothing you learn is wasted. If you have never written code, all three start in the same place: Python for AI.