Build AI skills one
notebook at a time.

Data Foundations assumes no prior experience with Python but does expect basic comfort with computers and a willingness to type code. If you have never written a line of Python before, you will need to work through a brief Python primer — we can point you to one — before the course material starts to flow easily.

Each week's material consists of recorded video lessons paired with a Jupyter notebook that you run on your own machine. The notebooks contain worked examples and practice exercises. There are no fixed class times — you work through each week's content at a pace that fits your schedule.

You submit a completed notebook by uploading it to a shared folder. An instructor reads through your code and analysis, then writes inline comments and a short summary. The feedback addresses both correctness and reasoning — not just whether the code runs, but whether your interpretation of the results makes sense.

Yes. The three programs are designed to follow one another. Completing Data Foundations gives you the Python and data handling baseline for the ML Pathway. Completing the ML Pathway prepares you for the Capstone. Students who move through all three will have covered the full progression from data reading to deployed deep learning models.

We ask that you contact us directly if something comes up. Refund decisions are handled case by case and depend on how far into the course you are at the point of request. Full details are in the Terms and Conditions linked at the bottom of this page.

Yes, all prices are in Thai Baht (THB). Payment options and accepted methods are discussed during the enrolment process. Contact us for current details.