Three Tracks,
One Clear Direction
From first Python script to deep learning deployment — each course builds directly on the last, with structured feedback at every stage.
Back to HomeHow Cortexia Courses Are Built
Modular Grid Structure
Each topic maps to a defined skill cell. The whole path is visible before you start a single lesson.
Guided Practice First
Lessons lead into guided practice exercises before independent projects. Skills consolidate before the next block begins.
Structured Code Review
Every submission receives written feedback from the teaching team, using a consistent rubric so progress is comparable across submissions.
Portfolio Output
Each track ends with a project built to be shown — real use case, clean code, documented for a reviewer to follow.
Python for AI Starter Course
A friendly starting point for people with no coding background who want to work with AI. The course covers Python syntax, basic data handling, and a set of small practical tasks — all with an eye on what you'll actually use later in the tracks ahead. Learners follow guided lessons and complete a first mini-project that receives written feedback from the teaching team. The forum community is active and monitored, so questions rarely go unanswered for long. Around ten weeks at a relaxed pace with no demanding deadlines.
- No prior coding experience needed
- Mini-project with written instructor feedback
- Active learner forum included
- Self-paced within a relaxed weekly structure
Data & Modelling Track
An intermediate track for learners who have basic programming experience and want to work with real data. Covers preparing datasets, building and evaluating models, and reading results without over-interpreting them. Includes several portfolio projects reviewed by the teaching team, structured code reviews, and peer discussion in a shared forum. Live review sessions are held fortnightly and recorded. Sixteen weeks with a moderate weekly commitment — demanding enough to build real skills, not so dense that it crowds out other work.
- Multiple portfolio projects with structured feedback
- Fortnightly live review sessions (recorded)
- Peer discussion integrated into curriculum
- Prerequisite: basic Python or equivalent
Deep Learning Capstone Programme
A project-led programme for learners ready for demanding, self-directed study. Covers neural network architectures, training workflows, and deployment — ending in a substantial capstone project with close mentor involvement. Learners present their portfolio at the end of the programme, explaining design decisions to an audience that includes the teaching team. Twenty-two weeks with one-to-one mentor sessions throughout. Cohort size is capped to keep the mentor relationship meaningful.
- One-to-one mentor sessions throughout
- Substantial capstone project
- Deployment workflows included
- Final portfolio presentation
- Prerequisite: Data & Modelling Track or equivalent
What's Included in Each Course
| Feature | Starter ฿3,900 |
Data Track ฿15,500 |
Capstone ฿33,000 |
|---|---|---|---|
| Duration | 10 weeks | 16 weeks | 22 weeks |
| Written project feedback | |||
| Forum community access | |||
| Portfolio projects | 1 mini | Multiple | Capstone |
| Live review sessions | |||
| One-to-one mentor sessions | |||
| Deployment workflows | |||
| Best for | Complete beginners | Coders wanting applied ML | Serious practitioners |
What Applies Across All Tracks
Data Privacy
Learner data is used only for course delivery and relevant communication. No third-party marketing sharing. Compliant with Thai PDPA requirements.
Regular Curriculum Updates
Materials are reviewed every six months. When tools or methods change in industry practice, the course content reflects that.
Feedback Turnaround
Project submissions receive written feedback within five working days. Forum questions answered within 24 hours on weekdays.
Cohort Size Limits
Capstone cohorts are capped to maintain mentor quality. A waiting list is used rather than reducing the support ratio.
Consistent Review Rubric
All code reviews use a shared rubric so feedback is comparable across submissions and between instructors. Progress is visible, not impressionistic.
English Language Delivery
All materials, feedback, and forum support are in English. Learners across Thailand and Southeast Asia study in a consistent language environment.
Clear Prices, No Add-Ons
One price per course covers everything listed in the course description. No subscription renewal, no upsell required for the core material.
- Full course materials
- Forum access
- Mini-project + feedback
- Full course materials
- Forum + peer discussion
- Multiple portfolio projects
- Live review sessions
- Structured code reviews
- Full programme materials
- One-to-one mentor sessions
- Capstone project
- Deployment workflows
- Portfolio presentation
Not sure which track to start with?
Get in touch and describe your experience level. We'll suggest the most sensible entry point.
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