Three Courses, One Clear Direction
Each course covers a different stage of AI development — with full scope descriptions, process steps, and pricing so you can choose the right starting point.
Back to HomeHow Cognita Courses Are Built
Each Cognita course begins with a clear statement of what it covers, what it doesn't, and what prior knowledge it assumes. This isn't a formality — it's the part that prevents the most common frustration in online learning, which is arriving at the material and finding out it assumes you already know the thing you came to learn.
Lessons are sequenced so that each one builds directly on the last. When a concept from an earlier lesson becomes important again, it's named explicitly rather than assumed to be retained. Working code is at the centre: you write it, run it, and see what happens.
Projects are assessed by a human instructor, not an automated grader. Feedback is returned as written notes that explain the reasoning, not just a score.
Quarterly content review
Libraries and examples updated before each new cohort
Human feedback, not auto-grading
Every project reviewed and returned with written notes
Capped enrolment
No cohort over-enrolled to maintain feedback quality
Pace designed for working adults
Weekly time expectations published before you decide
Programming for AI Basics
A beginner-friendly course building core Python and data skills through short lessons and practical tasks. For newcomers who want a clear, honest starting point. Steady weekly practice is part of the design — there are no cramming periods or week-long sprints.
- Python syntax and data types from first principles
- Working with tabular data using pandas
- Basic visualisations and data exploration
- Final project: a complete data pipeline on a real dataset
Process
Model Building Workshop
A hands-on intermediate workshop where learners construct, train, and assess models on sample datasets, with worked solutions and feedback. Suited to those who can write basic Python already. The workshop includes a guided project built incrementally across the sessions.
- Supervised learning: classification and regression
- Model training, validation splits, and evaluation metrics
- Worked solutions with annotated reasoning for every exercise
- Guided capstone: build, evaluate, and document your own model
Process
Long-Form Mentorship Course
An extended course combining structured modules, code reviews, and regular mentor sessions in a small cohort. For dedicated learners who want ongoing guidance while developing real skills over a longer period. Expectations and workload are explained clearly up front — this is a significant commitment and we say so.
- Structured modules covering full ML pipeline
- Regular code review sessions with your assigned mentor
- Live cohort sessions once per week (ICT schedule)
- Extended final project with multiple review rounds
- Direct async support between scheduled sessions
Process
Which Course Suits You?
Use this table to self-select based on where you currently are.
| Basics | Workshop | Mentorship | |
|---|---|---|---|
| Prior Python needed | None | Some basics | Comfortable with Python |
| Weekly time (approx.) | 4–6 hrs | 5–7 hrs | 8–10 hrs |
| Duration | 6 weeks | 8 weeks | 16 weeks |
| Live sessions | |||
| Assigned mentor | |||
| Project feedback | |||
| Price | ฿4,200 | ฿15,800 | ฿33,000 |
Not sure where to start? Send us a message — we'll ask a few questions and tell you which course makes sense for where you are now. No commitment needed to have that conversation.
What Applies to Every Course
Data Privacy (PDPA-Aligned)
Learner information is handled in line with Thailand's Personal Data Protection Act. We don't share personal data for marketing.
Quarterly Content Review
All materials are reviewed every quarter. If a library version has changed or a technique has evolved, we update before the next cohort.
Response Within One Business Day
Course support questions are answered within one business day during office hours (Mon–Fri, 09:00–18:00 ICT).
Written Project Assessments
No automated grading. Every project submission receives a written review by the course instructor.
Capped Cohort Enrolment
We don't over-enrol cohorts. When a cohort fills, we open a new one rather than compromise feedback quality.
Completion Record on Finish
Every learner who completes a course and project receives a Cognita completion record. We're transparent that this is an internal document, not an external accreditation.
Course Pricing
All prices in Thai Baht (฿). Each price covers everything listed — no add-ons or hidden fees.
AI Basics
฿4,200
- All course materials
- Exercises and worked solutions
- Final project feedback
- Completion record
- Live sessions
- Assigned mentor
Model Workshop
฿15,800
- All course materials
- Exercises and worked solutions
- Guided capstone project
- Project feedback
- Completion record
- Assigned mentor
Mentorship Course
฿33,000
- All course materials
- Assigned mentor (same throughout)
- Weekly live cohort sessions
- Multiple project review rounds
- Async support between sessions
- Completion record
Ready to Begin?
Drop us a message and we'll help you figure out where to start. We'll reply within one business day.
Send a Message