→ Programs
Three programs, described in full
This page gives a complete overview of each program — what it covers, how it runs, what you produce, and what it costs.
← Back to Home→ How the programs work
Self-paced with a fixed structure
All three programs are self-paced: each week's materials open on a set date, and you work through them in whatever order and at whatever time suits your schedule within that week. There are no live required sessions — lessons are recorded.
The structure is fixed even though the pace is flexible. Each week has a defined topic, a notebook exercise, and a submission deadline for students who want feedback. Deadlines keep the program moving and ensure feedback reaches you before you start the next week's work.
Feedback on submitted notebooks is written by an instructor who works with the specific program. The comments address what you did well, what to reconsider, and what to explore further before the next notebook.
The ML Pathway and Capstone programs also include video office hours — scheduled time with a mentor where you can ask about your project, your code, or the material in more depth. These are optional but most students attend them regularly.
Program 01
Programming Foundations
A self-paced eight-week course for learners new to programming who would like a careful, considered start. The course covers Python syntax, control flow, functions, common data structures, simple file handling, and a short introduction to libraries used in data work. Each week includes recorded lessons, short exercises, and an end-of-week practice notebook. Students receive written feedback on three submitted notebooks.
What this program covers:
- Python syntax: variables, types, operators, conditionals
- Control flow: loops, iteration, logic
- Functions: defining, calling, scope
- Data structures: lists, dictionaries, tuples
- File handling: reading and writing simple files
- Introduction to NumPy and Pandas
How the program runs:
Enrol and receive welcome materials including the week-by-week outline and the Colab setup guide
Each Monday, the week's lessons and notebook open — work through them at your own pace
Submit the three feedback notebooks (weeks 3, 5, and 8) — written feedback returned within five working days
Email the instructor at any point with specific questions — response within two working days
Program 02
Applied Machine Learning Pathway
A fourteen-week applied pathway in machine learning for learners with a Python foundation. Topics include regression and classification, careful feature engineering, model evaluation, hyperparameter tuning basics, and the production of three small portfolio projects. Weekly recorded lessons are paired with hands-on notebooks and mentor-led office hours over video.
What this program covers:
- Regression: linear, polynomial, regularization
- Classification: logistic regression, decision trees, ensembles
- Feature engineering and selection
- Cross-validation and model evaluation
- Basic hyperparameter tuning
- Three end-to-end portfolio projects
What's included:
- Weekly recorded lessons and notebooks
- Written feedback on submitted notebooks
- Mentor-led video office hours each fortnight
- Three portfolio projects to keep
Prerequisite: Python foundations (this program or equivalent experience)
Enquire About This ProgramProgram 03
AI Engineering Capstone Program
A twenty-week capstone program focused on the engineering side of applied AI: data pipelines, careful model development, evaluation against realistic constraints, and small-scale deployment. The program is built around individual mentor reviews of student code at four checkpoints, recorded lessons covering both fundamentals and project-specific topics, and a final presentation of the capstone to a panel of three educators.
What this program covers:
- Data pipeline design and implementation
- Model development with production constraints in mind
- Evaluation frameworks for real-world conditions
- Small-scale deployment: packaging and serving a model
- Documentation and code structure standards
- Capstone project presentation to a panel
Four structured checkpoints:
Week 5 — Project plan and data pipeline review
Week 10 — Model development approach review
Week 15 — Evaluation and refinement review
Week 20 — Final capstone presentation to three-person panel
Prerequisite: Solid Python experience and familiarity with ML concepts
Enquire About This Program
→ Side by side
Choosing the right program
| Feature | Foundations | ML Pathway | AI Capstone |
|---|---|---|---|
| Suitable for | |||
| Learners new to coding | |||
| Learners with Python basics | |||
| Developers with solid Python | |||
| What's included | |||
| Recorded weekly lessons | |||
| Written feedback on submissions | |||
| Video office hours with mentor | |||
| Portfolio projects | 3 | 1 capstone | |
| Individual code reviews | 4 checkpoints | ||
| Price (THB) | ฿8,200 | ฿21,500 | ฿34,200 |
→ Our standards
What applies across all three programs
Student data privacy
Submissions and personal data are stored securely. Thailand PDPA guidelines are followed. Student data is not shared with outside parties.
Feedback within five working days
This is the standard across all programs. If feedback is delayed for any reason, the student is notified by email in advance.
Annual curriculum review
Program content is reviewed before each cohort. Python library versions and method recommendations are checked against current practice.
Standard Jupyter format
All course notebooks use standard .ipynb format. Students own their work and can open, run, and modify it independently after the program ends.
Direct instructor contact
All students have email access to their program instructor during the program period. Responses within two working days.
No hidden costs
The listed price is the full cost of the program. All materials are included. No required add-ons. Payment plans available on request for longer programs.
→ Pricing
All prices in Thai Baht
8 weeks
Programming Foundations
฿8,200
per program, all materials included
- Recorded lessons
- Practice notebooks (8 weeks)
- Written feedback on 3 notebooks
- Instructor email support
14 weeks
Applied ML Pathway
฿21,500
per program, all materials included
- Recorded lessons + notebooks
- Written feedback on submissions
- Fortnightly video office hours
- 3 portfolio projects
- Instructor email support
20 weeks
AI Engineering Capstone
฿34,200
per program, all materials included
- Recorded lessons
- 4 individual code reviews
- Video office hours
- Capstone project + panel presentation
- Payment plans available
→ Next step
Not sure where to start?
Tell us where you are with Python and what you want to work toward. We will point you to the program that fits your current level.
Send a Message