How to follow an AI and ML learning roadmap from Python foundations to shipping models

Study Modelpath, a sequenced path from ML basics to evaluated, deployable models with Python, data prep, classical ML, deep learning, evaluation.

  • Difficulty Intermediate
  • Parts 10
  • Stack Python, data prep, classical ML, deep learning, evaluation

What you are learning

Modelpath is a sequenced path from ML basics to evaluated, deployable models. The teaching focus is AI and ML (Python, data prep, classical ML, deep learning, evaluation).

Work in order. Early parts set vocabulary and environment; later parts assume the earlier checkpoints.

How to use these lessons

Read the goal, open the matching GitHub folder, complete the lab or exercises, then return for the explanation. If a command fails, check you are in the numbered folder first.

Open the Modelpath GitHub repo โ†’

Parts in order

Each chapter below is one checkpoint in this track.