Make your skills useful.
4 practical projects. Real questions. Your own approach.
Put the lessons together in a project you can explain, improve, and share. Each brief includes a synthetic dataset, a starter notebook, and clear success criteria.
Forecast a solar-powered tomorrow
Explore a small solar installation and estimate daily energy output.
Spot trouble before a machine stops
Use sensor readings to explore early signs of equipment failure.
Follow the money. Find the pattern.
Turn a fictional workshop expense ledger into useful insights.
Help a clinic plan its day
Study appointment attendance with a careful, responsible approach.
All project datasets are synthetic learning examples. They are for learning and simulation, not operational decisions.
Free, open and run by a nonprofit.
This page is part of Python to AI, a free course of 20 modules and 60 lessons in the engineering.fit( ) Learning Lab. The Learning Lab is built and run by engineering.fit( ), a nonprofit founded by Abdullateef Opeyemi Bakare that helps African engineering students gain research experience. You do not need an account or pay a fee to learn.