Three Programmes. One Clear Direction.
Structured courses and mentor-led tracks built around what it actually takes to develop working AI skills.
← Back to HomeHow Synaptiq Structures Learning
Each programme follows a module-based structure where concepts are introduced in a deliberate order. Earlier modules are designed to give you what you need to make sense of what comes later — rather than presenting everything at once and leaving you to work out the sequence yourself.
Project work is embedded throughout, not saved for the end. This means you're applying ideas as they're introduced, which surfaces misunderstandings early and gives your mentor something concrete to respond to.
All three programmes use open-source tools with broad adoption in the field. What you learn translates beyond any single employer or platform. Documentation and reproducibility are treated as core skills from the start.
Mentor involvement scales with the programme level. The Fundamentals course includes written module feedback; the Workshop includes check-ins and project reviews; the Mentorship track involves regular direct sessions.
Modular Structure
Project-First Work
Specific Feedback
Regular Updates
AI Development Fundamentals
A structured course covering Python foundations, data handling and the building blocks of machine learning models. Suited to motivated beginners building a steady base over several weeks.
- Python syntax, functions, and data structures for data work
- Data loading, cleaning, and transformation workflows
- Introduction to supervised learning concepts and model training
- Basic model evaluation and iteration practices
- Written module feedback from a practitioner mentor
How It Runs
Language Model Building Workshop
A hands-on series on tokenization, fine-tuning and evaluating text models responsibly. Includes guided projects and clear documentation practices. Assumes familiarity with Python and basic ML concepts.
- Tokenization strategies and text preprocessing pipelines
- Fine-tuning transformer-based models on specific tasks
- Evaluation frameworks and responsible assessment methods
- Reproducible project documentation standards
- Project review sessions with a specialist NLP mentor
How It Runs
Mentorship & Portfolio Program
Regular mentor sessions plus a guided portfolio of finished projects to demonstrate skills. A supportive track for those preparing to apply for roles, with honest feedback throughout.
- Scheduled one-on-one sessions with a practitioner mentor
- Structured portfolio development alongside sessions
- Specific written feedback on each portfolio piece
- Gap analysis to focus learning where it counts most
- Honest assessment of portfolio readiness — no vague reassurance
How It Runs
Which Programme Is Right for You?
Use this table to compare what's included and find the track that fits your current level and goals.
| Feature | AI Fundamentals | LM Workshop | Mentorship |
|---|---|---|---|
| Best for... | Beginners | Intermediate learners | Portfolio building |
| Price | ฿12,250 | ฿8,400 | ฿3,500 |
| Python foundations | Assumed | Assumed | |
| Data handling & transformation | Partial | — | |
| Machine learning model basics | — | — | |
| Tokenization & fine-tuning | — | — | |
| Portfolio project guidance | — | — | |
| One-on-one mentor sessions | — | Check-ins | |
| Written feedback on your work | |||
| Responsible evaluation methods | Intro |
Across All Programmes
Data Privacy
Learner data is used only for enrolment and communication. No advertising tracking, no data resale.
Updated Curriculum
All materials are reviewed regularly. If a tool or practice has changed significantly, the relevant modules are updated before the next cohort.
Open-Source Stack
Programmes use Python and widely-adopted open-source libraries. No proprietary tools or vendor lock-in.
Practitioner Mentors
All mentors have professional experience in AI or data engineering. Backgrounds are verified before any mentor joins the school.
Written Fee Confirmation
All fees and access terms are confirmed in writing before payment. No surprise charges or hidden module costs.
Responsible AI Topics
Evaluation methodology, bias awareness and documentation practices are embedded in technical content across all programmes.
Clear Fees, No Surprises
All prices are in Thai Baht and include everything listed. Contact us to confirm payment options before enrolling.
Mentorship & Portfolio
- Scheduled mentor sessions
- Portfolio guidance throughout
- Written project feedback
- Flexible pacing
Language Model Workshop
- Tokenization & fine-tuning
- Guided project work
- Check-in sessions
- NLP specialist mentor
AI Development Fundamentals
- Python & data fundamentals
- ML building blocks
- Module feedback
- Beginner-friendly pacing
Not Sure Which Programme Fits?
Tell us where you are right now and what you're working toward. We'll point you toward the right track without any pressure to commit before you're ready.
Get in Touch