// our programmes
Three programmes,
three kinds of learner
From educators who want clarity about AI in the classroom, to practitioners building and operating vision-based systems — each programme is designed for a specific situation and a specific kind of work.
Back to Home// our approach
How all three programmes are structured
Live sessions
Each module begins with a live session covering the concept and the week's implementation exercise. Sessions run in the evening and are kept to under two hours.
Implementation exercises
Every session is paired with a hands-on exercise. The exercises are designed to surface the friction points that matter — the things that only become visible when you are actually working with the tools.
Small-group office hours
Weekly office hours in groups of no more than four participants. Questions from the week's exercise, project decisions, and anything that did not fit into the session.
// programme 01 · ten weeks
AI for Educators Cohort
A ten-week part-time cohort for teachers, lecturers, and education professionals who would like to develop a calm, accurate understanding of how applied AI tools may fit into their teaching practice. The cohort covers what current tools can and cannot do, careful frameworks for talking about AI with students, considerations for assessment, and a short practical project of each participant's choosing. Work is paced by the cohort, with weekly live sessions held in the evening to suit working educators.
This programme is for you if:
- You teach at a school, college, or university
- You want to understand AI tools accurately, not just use them
- You need frameworks for discussing AI with students responsibly
- You do not have a technical background and do not want one
Programme steps:
Weeks 1–3: What AI tools are and are not
Current capabilities, common misconceptions, and how to evaluate claims made about AI tools.
Weeks 4–6: AI in educational contexts
Frameworks for talking with students, assessment considerations, and institutional approaches.
Weeks 7–10: Your practical project
Each participant works on a short project of their own choosing, with instructor feedback and cohort discussion.
// programme details
// programme details
// programme 02 · fourteen weeks
Computer Vision Track
A fourteen-week part-time track for learners who would like a paced introduction to working with image data — from classical image-processing fundamentals through to modern visual-recognition architectures and their everyday training practice. The track covers data preparation, classical and modern model families, evaluation strategies, and a small applied project on a realistic dataset. Each module pairs a live session with a small implementation exercise, supported by weekly small-group office hours. The track assumes prior comfort with Python and the foundations of machine learning.
This programme is for you if:
- You are comfortable writing Python and understand basic ML concepts
- You want to work with image data but have not done so systematically
- You need structure and feedback, not just documentation to read
- You are working alongside other commitments
Programme steps:
Weeks 1–4: Image data and classical methods
Representation, preprocessing, filtering, and the classical image-processing pipeline.
Weeks 5–10: Modern architectures and training
CNN families, transfer learning, training practice, and evaluation on realistic datasets.
Weeks 11–14: Applied project
Each participant works on a dataset and problem of their own choosing, with instructor review sessions.
// programme 03 · six months
Applied Vision Systems Programme
A six-month part-time programme for learners who would like to develop the skills required to build and operate a small vision-based system for everyday use — for example, a quality-check tool for a small workshop or a document-processing pipeline for a small office. The programme covers data collection, annotation, model selection, evaluation in realistic conditions, deployment to modest hardware, and the practical work of operating a small system over time. Each cohort completes a portfolio project of their own choosing, supported by weekly review sessions.
This programme is for you if:
- You have a specific system you want to build and operate
- You want to understand the full lifecycle — not just training
- You can commit to a longer, more intensive programme
- You are working in a practical setting (small business, workshop, office)
Programme steps:
Months 1–2: Data collection and model selection
Scoping the system, collecting and annotating data, selecting a model architecture appropriate to the task.
Month 3–4: Training and evaluation
Training the model, evaluating it in realistic conditions (not just on clean test sets), iterating.
Months 5–6: Deployment and operation
Deploying to modest hardware, setting up monitoring, and developing the practical routines of operating a small system over time.
// programme details
// which one fits
Deciding between programmes
If you are unsure which programme suits your situation, the table below maps the key differences. You are also welcome to contact us directly to discuss.
| Feature | AI for Educators | Computer Vision Track | Vision Systems Programme |
|---|---|---|---|
| Duration | 10 weeks | 14 weeks | 6 months |
| Technical entry requirement | None | Python + ML basics | ML fundamentals helpful |
| Focus | Understanding & framing | Image data & models | Full system lifecycle |
| Fee (THB) | ฿4,600 | ฿9,800 | ฿14,200 |
| Best for | Educators, trainers, learning designers | Analysts, developers new to vision | Practitioners building real systems |
| Own project |
// across all programmes
Standards shared by every programme
Data privacy
No personally identifiable data used in exercises without consent and legal grounding.
Current curriculum
Material reviewed and updated before each cohort. We remove what is no longer accurate.
Capped cohort size
Maximum twelve participants in every programme, maintained without exception.
Accurate claims
Programme descriptions state what the work involves. No outcomes are overstated.
Responsive support
Email questions answered within one working day throughout the programme.
No lock-in
Questions welcome before any commitment. We would rather you choose the right programme than the wrong one.
// fees
Clear pricing in Thai baht
// 10 weeks
AI for Educators Cohort
per participant · one-time fee
- 10 weekly live sessions
- Weekly small-group office hours
- Own practical project with feedback
- Completion record on finishing
- No prior technical experience needed
// 14 weeks
Computer Vision Track
per participant · one-time fee
- 14 weekly live sessions
- Weekly small-group office hours
- Implementation exercises each module
- Applied project on realistic dataset
- Completion record on finishing
// 6 months
Applied Vision Systems Programme
per participant · one-time fee
- 6 months of structured sessions
- Weekly review sessions throughout
- Portfolio project of your choosing
- Deployment and operation phase
- Completion record on finishing
// get started
Ready to find out more?
Contact us with your background and what you are hoping to work on. We will point you to the right programme and share the next cohort date.
Send an Enquiry