Eight weeks from Python basics to training your first machine learning models — no prior programming experience required.
Introduction to Artificial Intelligence is designed for learners who are curious about AI but have never written a line of code. You'll start with Python fundamentals in week one, then move quickly into the ideas that power modern AI — data, statistics, and how machines "learn" from examples rather than explicit rules.
By the final weeks, you'll be training and evaluating your own machine learning models on real datasets, and you'll leave with a working understanding of where AI is genuinely useful, where it isn't, and how to keep learning past this course.
Variables, control flow, functions and working with data in Python.
Cleaning datasets, descriptive statistics and visualizing patterns.
Training, testing and evaluating classification and regression models.
Recognizing good AI use cases and the limits of what models can do.
I had zero coding background. By week 8 I'd built a model that predicted housing prices and actually understood why it worked.
The Illustrator explains the math without drowning you in it. This was the confidence boost I needed before the full Data Science track.
