// programs
Three Learning Tracks, One Clear Path into AI
From your first Python variable to a completed AI project with mentor guidance — Synapseir's programs take you through each stage at your own pace.
Back to Home// our approach
How the Programs Are Structured
Synapseir organizes learning into modular cells — short, focused units that each cover a single concept or skill. This mirrors the actual notebook environment where learners will do their work, and makes it easy to return to specific points or work through material at variable speeds.
Start at the Right Level
Each track is scoped to a specific experience level. You join at the point that fits where you are now.
Progress Through Cells
Material is broken into small, focused cells. Each one ends with an exercise before moving forward.
Get Feedback on Your Work
Mentors review assignments and give specific, actionable comments. Not automated marks.
Leave with Project Work
Every track produces concrete output — runnable code, a trained model, or a complete capstone project.
// Track 01
Foundations of AI & Python
A self-paced introductory track covering Python basics, data handling, and core machine-learning concepts through small, guided projects. Designed for newcomers — it builds steady confidence with clear explanations, practice exercises, and worked examples at each step. There are no prerequisites, and progress is at your own speed.
// what's included
- Python syntax, data types, and control flow
- Data handling with Pandas and basic NumPy
- Introduction to ML concepts with Scikit-learn
- Small guided projects at each module milestone
- Access to learner community forums
// how it works
Set up your Python environment with guided instructions provided in the first module cell.
Work through concept cells at your pace, completing exercises before advancing.
Complete small projects at each milestone that put concepts into practice.
Ask questions in the community forum or flag issues for async mentor review.
// best for
People who are new to programming or new to Python — no prior coding experience needed. Also suitable for those who have tried online Python tutorials but want structured guidance and project work alongside the concepts.
// Track 02
Applied Machine Learning: Project Track
A structured, project-based track where you build and refine practical ML models step by step — from data preparation through to evaluation. Includes guided assignments with mentor code reviews and access to a learner community. Focused on skills and producing portfolio-ready project work.
// what's included
- End-to-end ML pipeline: data → model → evaluation
- Mentor-reviewed coding assignments at key checkpoints
- Feature engineering and model selection exercises
- Portfolio project to completion
- Community forum and peer project discussion
// how it works
Select a dataset type relevant to your interest area to use throughout the track.
Work through data preparation cells, applying each step to your chosen dataset.
Submit assignments at checkpoint milestones and receive code-specific mentor feedback.
Complete a portfolio project that walks through the full ML cycle with documented decisions.
// best for
Learners with Python basics who want to move into practical ML work. Suitable for those who've done Track 01 or who already have Python experience and are ready to work through a project-based ML curriculum with mentor support.
// Track 03
Mentorship & Capstone Program
An extended program pairing you with an experienced mentor to plan and complete a substantial AI development project at your own pace. Regular one-to-one sessions, structured milestone feedback, and community access are included throughout. A guided learning experience focused on depth and independent project completion.
// what's included
- Dedicated mentor matched to your project focus
- Regular live one-to-one sessions (scheduled flexibly)
- Project scoping and planning support
- Milestone reviews with detailed written feedback
- Full community and resource library access
// how it works
Introductory session with your mentor to discuss background, interests, and project ideas.
Together you define a project scope and milestone plan suited to your available time.
Regular sessions track progress, troubleshoot blocks, and refine approach as the project develops.
Complete and document your capstone project, with final review and reflection session.
// best for
Learners who have completed Track 02 or who bring equivalent practical ML knowledge and want to work through a substantial independent project with consistent mentor guidance. Suitable for those who learn best through sustained engagement rather than short sprints.
// comparison
Which Track Fits Where You Are?
Use this to find your starting point.
| Feature | Track 01 ฿3,600 |
Track 02 ฿16,800 |
Track 03 ฿33,500 |
|---|---|---|---|
| No coding background needed | — | — | |
| Guided project exercises | |||
| Mentor code reviews | — | ||
| Portfolio-ready ML project | — | ||
| Dedicated personal mentor | — | — | |
| Live one-to-one sessions | — | — | |
| Substantial capstone project | — | — |
// Not sure which level fits? Contact us and we'll have a brief conversation about your background.
// standards
Shared Across All Three Tracks
PDPA-Compliant Data Handling
All personal and learning data is handled in line with Thailand's Personal Data Protection Act. No data is sold or shared with third parties.
Six-Monthly Content Review
Curriculum cells are reviewed and updated every six months to reflect changes in libraries, tools, and current practice in the field.
Async Support for All Tracks
Questions receive a response within 48 hours from a mentor on all tracks. Support is asynchronous, so you're never stuck waiting for a scheduled live slot.
Mentor Qualification Standard
All mentors pass an internal onboarding process covering ML practice standards and feedback techniques before being assigned to learners.
Accessible Platform
Course materials are designed for screen readers and keyboard navigation. Written explanations accompany every code example and video.
Learner Community Access
Community forums are available on all tracks. Peer questions, project sharing, and discussion help make common problems visible to everyone.
// pricing
Clear Pricing in Thai Baht
One-time payment per track — no subscriptions, no hidden tiers.
// Track 01
Foundations of AI & Python
฿3,600
- Self-paced module cells
- Guided exercises and mini-projects
- Community forum access
- Async mentor Q&A
// Track 02 · Popular
Applied Machine Learning
฿16,800
- Everything in Track 01
- Guided ML assignments
- Mentor code reviews
- Portfolio project completion
// Track 03
Mentorship & Capstone
฿33,500
- Everything in Track 02
- Dedicated personal mentor
- Live one-to-one sessions
- Substantial capstone project
// get started
Not sure which track is right for you?
Get in touch and we'll talk through your background and what you're hoping to work on. No commitment required.
Contact Us