// solutions
Three Tracks.
One Direction.
Each track is a complete, structured study experience — with exercises, feedback, and a project. They're designed to connect, so you can move from one to the next without starting over.
← Back to Home// approach
How Our Tracks Are Structured
Notebook Format
Lessons are cells: concept, code example, then your exercise. You read, run, and then do — in that order, every time.
Reviewed Milestones
At key milestones, a team member reads your submission and provides written feedback before the next section unlocks.
Project Completion
Every track ends with a project — something you built, that runs, that you can show and explain to someone else.
// track 01
Foundations of AI Development
A structured starter course covering core programming for data work, the fundamentals of machine learning, and how modern models are built and evaluated. Paced for steady learning with practical, reviewed exercises. Includes a small project and community study group.
Python for data work from the ground up
Machine learning fundamentals and model evaluation
Reviewed exercises at every milestone
Community study group for peer discussion
Final small project with submission review
// process
Environment setup and Python essentials
Data handling and exploratory analysis
ML concepts and model building basics
Final project and review
Price
฿4,080
// track 02
Applied Model Building
A project-based course where you build, train, and assess working models on real datasets, with mentor feedback at each milestone. Focused on practical skills and good engineering habits. Includes code reviews and a portfolio-ready project.
Real datasets — not toy examples
Mentor feedback at each major milestone
Code reviews focused on engineering quality
Portfolio-ready project you can share
Focus on model evaluation and iteration
// process
Dataset selection and problem framing
Model building with milestone reviews
Evaluation, iteration, and code review
Portfolio project submission
Price
฿6,460
// track 03
Capstone & Mentorship Track
An extended track combining advanced topics, a substantial capstone project, and one-to-one mentorship from working practitioners. Designed for learners ready to deepen their craft over several weeks. Includes structured feedback and a presentation of the finished work.
One-to-one sessions with a working practitioner
Substantial capstone project over several weeks
Advanced topics introduced through project context
Structured written feedback at each stage
Final presentation of finished work
// process
Onboarding and project scoping with mentor
Weekly or bi-weekly one-to-one sessions
Structured feedback at each project stage
Final presentation and review session
Price
฿11,900
// compare
Which Track Suits You?
| Foundations | Applied | Capstone | |
|---|---|---|---|
| Best for | New to ML/AI | Some background | Ready to go deep |
| Project included | |||
| Exercise review | |||
| One-to-one mentorship | — | — | |
| Community group | |||
| Price (฿) | 4,080 | 6,460 | 11,900 |
Not sure which track fits? Get in touch and we'll talk through your background.
// standards
Shared Across All Tracks
Data Privacy
Submissions and personal details are stored securely and not shared commercially. Full details in our Privacy Policy.
Quarterly Updates
Curriculum is reviewed every quarter. When library APIs or standard practices change, the relevant exercises are updated before the next cohort.
Responsive Support
Questions about the curriculum or your progress are answered within one working day by a member of the team, not a help desk bot.
Clear Enrolment Terms
What's included in each track, withdrawal conditions, and scope are documented in our Terms & Conditions before any payment is made.
Working Code Only
Every exercise and project is designed to produce code that runs. No pseudo-code, no diagrams substituting for implementation.
Feedback That Explains
Review notes say why something works or doesn't, not just whether it passed. The goal is understanding, not just a green tick.
// start
Ready to Pick a Track?
Drop us a message with a bit about your background and what you're hoping to work on. We'll point you in the right direction.
Get in Touch