Three Programmes

Courses designed to build on each other

From mathematical foundations through to production systems and research methodology — a structured path through applied AI development.

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Our Methodology

How we structure learning

Weekly structure

All programmes run on a weekly rhythm — not self-paced. Materials are released on a schedule, assignments have submission windows, and instructor contact is timetabled. This produces better retention than open-ended access.

Assignment-first learning

We don't believe watching lectures is sufficient. Each programme includes substantive assignments — problem sets, coding exercises, experiment writeups — where the actual learning happens.

Instructor feedback loop

Written feedback on assignments from the course instructor is standard across all programmes. For the Research Methods programme, scheduled mentor sessions add a second layer of structured review.

Programme 01

Mathematics Foundations for ML

฿3,600 · 8 weeks · ~5 hrs/week

A structured working-through of the mathematical foundations most relevant to practical machine learning — linear algebra, multivariable calculus, and probability theory. Paced as a careful progression with weekly problem sets and instructor discussion rather than a lecture-only survey.

Vectors, matrices, and linear transformations
Derivatives, gradients, and optimisation
Probability distributions, Bayes' theorem, and expected value
Weekly problem sets with written instructor feedback
Discussion sessions to work through difficulties

How the course works:

Weeks 1–2: Linear algebra fundamentals — vectors, matrices, operations

Weeks 3–4: Calculus for optimisation — derivatives, gradients, chain rule

Weeks 5–6: Probability and statistics — distributions, inference, Bayes

Weeks 7–8: Putting it together — how the mathematics appears in ML algorithms

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Programme 02

MLOps Practical Course

฿17,500 · Project-based · ~8–10 hrs/week

Covers the operational foundations of running machine learning systems in production — model versioning, deployment pipelines, monitoring, and the practices that separate stable production code from research prototypes. Assumes prior ML and software engineering background.

Model versioning and experiment tracking
Deployment pipeline design and implementation
Monitoring, data drift detection, and alerts
Hands-on assignments using current tooling
Substantial integrating final project

How the course works:

Module 1: Data versioning, experiment tracking, reproducibility

Module 2: Containerisation, pipeline automation, CI/CD for ML

Module 3: Deployment patterns, serving, scaling

Module 4: Monitoring, drift detection, production reliability

Final project: End-to-end system integrating all course elements

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Programme 03

AI Research Methods Programme

฿33,800 · 6 months · Substantial time commitment

A long-form programme for learners moving toward research-oriented work — covering literature reading skills, the structure of empirical studies, AI research ethics, and the practical work of designing and running small experiments. Includes structured mentor review of a closing research-style project.

Literature search, reading, and critical analysis
Empirical study design and methodology
Ethics in AI research — bias, transparency, responsibility
Designing and running small experiments
Structured mentor review throughout
Closing research-style project with written feedback

Programme structure:

Months 1–2: Literature skills — finding, reading, and evaluating papers

Months 2–3: Research design — question formulation, methodology, ethics

Months 3–5: Running experiments, collecting data, writing up results

Month 6: Closing project presentation and mentor review

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Choose Your Programme

Which programme fits your situation?

Each programme suits a different starting point and goal. Use this to orient yourself — then get in touch if you're unsure.

Consideration	Maths Foundations	MLOps Course	Research Methods
Best for	Filling foundational gaps before deeper ML work	Engineers moving ML to production	Practitioners moving toward research work
Prior background needed	Basic mathematics helpful	ML + software engineering	ML familiarity
Duration	8 weeks	Variable (project-based)	6 months
Weekly commitment	~5 hours	8–10 hours	Substantial
Mentor sessions	Office hours	Office hours	Scheduled mentorship
Final output	Problem set portfolio	Deployed end-to-end project	Research-style paper / report
Price	฿3,600	฿17,500	฿33,800

Across All Programmes

Standards we hold throughout

Student Data Protection

All student data is handled in accordance with Thailand's Personal Data Protection Act. We collect only what's needed and don't share student information with third parties for commercial purposes.

Curriculum Currency

Course content is reviewed before each cohort. The MLOps and Research Methods programmes particularly require active maintenance to remain relevant — we do this as a matter of course.

Written Feedback Standard

Every assignment receives written comments from the instructor. This is not automated and not optional — it is the central quality mechanism of our programmes.

Cohort Size Discipline

We cap enrolment. The figure varies by programme and is set based on what instructor contact quality requires, not on revenue targets.

Responsive Enquiry Handling

Pre-enrolment enquiries receive a response within one working day. We want people to have enough information to make a good decision before committing to a programme.

Ethics as Core Content

Responsible AI development — bias, fairness, transparency, and research ethics — is woven into all three programmes. It is not a standalone module that can be skipped.

Pricing

Course fees in Thai Baht

All fees include assignments, instructor feedback, office hours, and the relevant level of mentor access. No add-on costs.

Programme 01

Maths Foundations

฿3,600

per enrolment · 8 weeks

8 weeks structured content
Weekly problem sets
Written assignment feedback
Office hours access

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Most Practical

Programme 02

MLOps Course

฿17,500

per enrolment · project-based

Hands-on assignments with current tooling
Written assignment feedback
Office hours access
Final integrating project

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Programme 03

Research Methods

฿33,800

per enrolment · 6 months

Full 6-month curriculum
Scheduled mentor sessions
Written assignment feedback
Closing research project review

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Not sure where to start?

Send us a message describing your background and what you're hoping to work toward — we'll suggest where to start and why.

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