Python, Data & Machine Learning
Courses That Go at Your Pace
Three structured programmes — from a first data notebook to a deep learning capstone. Written feedback, mentor office hours, and portfolio projects included.
Three programmes, one clear path
Each course is designed for a specific stage. You do not need to take them all — start where your background fits and move forward from there.
Python for Data
For learners with a small amount of programming background who want to focus their Python on data work. Covers tabular data handling, structured files, plotting, and producing a notebook-style report.
- Recorded weekly lessons and notebook exercises
- Written feedback on two submitted notebooks
- 3–5 hours per week
Applied Machine Learning Pathway
For learners who already have a Python and data handling foundation. Covers regression, classification, model evaluation, feature engineering, lightweight neural network basics, and two portfolio projects.
- Recorded lessons paired with practical notebooks
- Mentor office hours over video
- 6–8 hours per week
Deep Learning Bootcamp
For learners with prior programming experience ready for a long-form commitment. Covers neural network fundamentals, training stability, common architectures for vision and language, model deployment, and a portfolio-ready capstone project.
- Two mentor code reviews included
- Capstone reviewed by a panel of three educators
- Prior programming background required
What makes our approach different
Written Feedback on Your Work
You submit notebooks; an instructor reads them and writes specific notes. Not automated scoring — actual comments on your code and thinking.
Practical, Runnable Notebooks
Every lesson connects to a notebook you run yourself. The exercises are built around realistic data sets rather than toy examples.
Self-Paced With a Real Schedule
Lessons are recorded, so you watch when it suits you. Weekly practice sets keep progress steady without requiring you to attend at a fixed time.
Portfolio Projects You Keep
The longer programmes include projects you can show in a portfolio or discuss in an interview. The work is yours to keep and build on.
Mentor Office Hours
Applied ML and Deep Learning students attend live video sessions with a mentor. You can ask about your specific notebook, not just general theory.
Plain Language Throughout
Course materials are written to be read, not to impress. If something is not clear, we want to know — the writing improves every cohort.
Not sure which course fits your background?
Send us a message and we will help you work out which programme makes sense for where you are now. No commitment required.
Common questions
Do I need prior programming experience?
What does self-paced mean in practice?
How does the written feedback work?
Are the course prices in Thai Baht?
What software will I need?
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Find Us in Bangkok
96 Wireless Road, Lumphini, Pathum Wan, Bangkok 10330
Get in Touch
Contact Details
Lumphini, Pathum Wan
Bangkok 10330
Monday – Friday
09:00 – 18:00 ICT
Responses within 1 business day