Our Courses
Three courses, one clear path into AI work
Each programme is structured around real work you complete. Choose the starting point that matches your background, or take them in sequence.
Back to HomeOur Methodology
How courses are built and run
The same underlying approach applies to all three programmes. Each learner gets a structured path, a real mentor, and work they can present.
Structured weekly path
Each week has a clear focus and a manageable workload, so you can plan around other commitments.
Project-based assessment
Progress is measured through completed work — not quizzes. Your mentor reviews and gives written feedback on each submission.
Ongoing mentor access
Your assigned mentor is available throughout — not only at check-in points. Questions get real answers from a person who knows your work.
Portable output
The work you produce is yours. On the advanced track this becomes a portfolio project you can present directly.
Beginning AI Development
A welcoming introduction to coding for AI, covering Python fundamentals, basic data handling, and the core ideas of machine learning, taught in small, clear steps. Short lessons and gentle exercises help you build confidence over time, with mentor support throughout. Suited to those starting from the beginning.
What this course covers
- Python syntax, data types, and control flow
- Working with data using pandas and NumPy
- Core machine learning concepts and terminology
- Building and evaluating a simple classification model
- Course project: a working ML model on a real dataset
How the course progresses
- 1
Weeks 1–3: Python foundations and working with tabular data
- 2
Weeks 4–7: Introduction to machine learning ideas and scikit-learn
- 3
Weeks 8–10: Building, testing, and evaluating your first model
- 4
Weeks 11–12: Course project with mentor review and feedback
฿7,400
Full course · mentor included
Hands-On Machine Learning
A practical course where you build and train models on real datasets and learn to assess results with care. You progress through guided projects with mentor feedback and a small peer group for support. Suited to learners with basic Python looking for grounded experience. Runs over sixteen weeks at a comfortable weekly pace.
What this course covers
- Data cleaning and feature engineering on unpolished datasets
- Classification, regression, and clustering approaches
- Model evaluation, cross-validation, and error analysis
- Handling class imbalance and common data quality issues
- Three guided projects with written mentor feedback on each
How the course progresses
- 1
Weeks 1–4: Data preparation and exploratory analysis on real datasets
- 2
Weeks 5–9: Model building — supervised approaches with evaluation
- 3
Weeks 10–13: Unsupervised methods and practical error analysis
- 4
Weeks 14–16: Capstone project with full mentor review cycle
฿10,900
Full course · mentor included
AI Engineering Project Track
A comprehensive programme covering model development, deployment, and modern AI tooling, organised around a portfolio project you can present with confidence. You receive regular mentor reviews and structured feedback, along with guidance on the skills the field values most. Suited to committed learners working toward a professional role. Runs over twenty-four weeks with steady weekly study.
What this course covers
- Model architecture decisions and deep learning fundamentals
- Model deployment, APIs, and serving infrastructure basics
- Modern AI tooling and LLM application development
- Portfolio project chosen and developed with mentor guidance
- Documenting and presenting technical work for non-technical audiences
How the course progresses
- 1
Weeks 1–6: Deep learning fundamentals and neural network design
- 2
Weeks 7–12: Model deployment, APIs, and monitoring
- 3
Weeks 13–18: Modern AI tooling and application development
- 4
Weeks 19–24: Portfolio project with scheduled mentor reviews and final presentation
฿13,800
Full course · mentor included
Decision Guide
Which course fits where you are now?
Use this table to compare what each course includes. If you are unsure, the contact form is the easiest way to get a personal recommendation.
| Feature | Beginning | Hands-On ML | Engineering Track |
|---|---|---|---|
| Requires prior coding knowledge | Basic Python | ML experience | |
| Duration | 12 weeks | 16 weeks | 24 weeks |
| Named mentor | |||
| Project-based assessment | |||
| Peer group / cohort | |||
| Model deployment & APIs | |||
| Portfolio project | |||
| Scheduled mentor review sessions | |||
| Price (฿) | 7,400 | 10,900 | 13,800 |
Best for: Beginning
You have not written code before, or only dabbled. You want to understand what AI development actually involves before committing to more.
Best for: Hands-On ML
You can write basic Python and want to build and evaluate real models — not just follow tutorials. You want a peer group and structured feedback.
Best for: Engineering Track
You have machine learning experience and want to move toward a professional role. You are ready for a longer commitment and a portfolio project.
Standards
Shared across all three programmes
Python-first technical foundation
All courses use Python as the primary language, consistent with how most data and AI work is done in practice.
Real, unpolished datasets
Projects use datasets with the kinds of issues you encounter in actual work — missing values, noise, and imbalanced classes.
Named mentor throughout
Every learner in every programme has one assigned mentor for the duration — not a rotating team.
Learner data handled responsibly
Personal data is not shared with marketing networks. Enrolment records are stored securely and kept only as long as needed.
Annual curriculum review
Course materials are reviewed and updated each year. Tools, examples, and project briefs reflect current practice.
Accessible format
All courses are run online. Study materials are accessible on desktop and mobile, designed for learners with full schedules.
Still deciding which course fits?
Write to us and describe where you are now. We'll suggest the most suitable starting point — no obligation, no pressure, just a straightforward answer.
Send a Question