Three Courses, One Connected Learning Path
From first Python steps through applied machine learning to a mentored real-world project — Cortexa's three courses are designed to follow each other naturally.
Back to HomeHow the Courses Are Structured
Each course at Cortexa begins with a clear statement of objectives — what you will be able to do by the end, what the weekly time requirement is, and what the assignments involve. Content is introduced progressively, with each topic built on what came before it.
The progression from Foundations to ML Models to the Mentorship Programme is intentional. A learner who completes the Foundations course has the Python grounding to benefit from the ML Models course. A learner who finishes both has the practical experience to make productive use of a mentor.
Part-time pace
6–8 hrs/week, fits around work
Practical first
Tasks before theory where possible
Written feedback
On all graded assignments
Cohort-based
Capped enrolment per intake
Programming Foundations for AI
A gentle entry course in Python, basic data structures, and working with datasets, taught through small practical tasks. Ideal for those starting from scratch. Spans about ten weeks part-time with weekly guided practice. Includes a course completion record.
What you will cover:
- Python syntax, variables, control flow, and functions
- Lists, dictionaries, and basic data structures
- Reading and writing files, handling tabular data
- Weekly practical exercises with guided solutions
How the course runs:
Enrol and receive access to week one materials
Work through readings and coding tasks each week
Submit weekly practice tasks for feedback
Complete the course and receive your completion record
Duration
~10 weeks, part-time
฿3,500
Building Machine Learning Models
An intermediate, hands-on course on preparing data, training models, and measuring results responsibly. For learners with some Python experience seeking applied practice. Includes graded mini-projects and peer discussion.
What you will cover:
- Data cleaning, feature selection, and preparation
- Training and evaluating classification and regression models
- Measuring model quality and avoiding common evaluation mistakes
- Graded mini-projects with written feedback
How the course runs:
Prerequisite: Python comfort level, or Foundations course
Follow weekly modules on applied ML methods
Complete two graded mini-projects at set points
Participate in peer discussion threads with cohort
Duration
~10–12 weeks, part-time
฿15,500
Project Mentorship Programme
A mentored programme guiding learners through a complete applied AI project, with planning, feedback, and a final showcase. Suited to those building a portfolio. Includes scheduled mentor sessions and a supportive cohort.
What you will cover:
- Defining a realistic project scope with your mentor
- Building a complete applied AI project end-to-end
- Regular feedback sessions on your actual code and decisions
- Final project showcase with cohort and review
How the programme runs:
Intake interview to match you with an appropriate mentor
First session: define project topic and initial plan
Regular scheduled sessions throughout the project build
Final showcase session with cohort and written project summary
Duration
12–16 weeks with mentor
฿33,000
Which Course Fits You?
The courses serve different starting points and goals. Use this table to see which one is the most sensible entry point.
| Foundations ฿3,500 |
ML Models ฿15,500 |
Mentorship ฿33,000 |
|
|---|---|---|---|
| Best for | Complete beginners | Python-familiar learners | Building a portfolio |
| Prior coding required | Some Python | Courses 1 & 2 or equivalent | |
| Practical assignments | |||
| Graded mini-projects | |||
| Assigned personal mentor | |||
| Completion record | |||
| Final showcase project |
Not sure? Contact us and describe your background — we will suggest the right starting point.
Across All Three Courses
Learner Data Protection
Enrolment and communication data is stored securely and used only to deliver your course. Thailand PDPA standards observed.
One-Day Support Response
Questions sent during office hours receive a written response within one working day, without exception.
Content Update Cycle
Course materials are reviewed at least once per year. The ML Models course was last updated in April 2025 to reflect current library versions.
Clear Prerequisites
Entry requirements for each course are stated plainly. You will not be enrolled in a course that does not match your current skill level.
Plain Terms and Conditions
Payment terms, access periods, and completion conditions are explained before any payment is required. No hidden conditions.
Fully Online Access
All course content, assignments, and mentor sessions are delivered online. No travel to Bangkok or installation of special software required.
Course Fees in Thai Baht
Single fee per course — no subscriptions, no renewals.
Foundations
฿3,500
- 10 weeks part-time
- Weekly practical tasks
- Support access
- Completion record
ML Models
฿15,500
- 10–12 weeks part-time
- 2 graded mini-projects
- Peer discussion access
- Written assignment feedback
Mentorship
฿33,000
- 12–16 week programme
- Assigned personal mentor
- Full AI project build
- Final showcase
Not sure where to begin?
Describe your current background and what you are hoping to learn — we will suggest the course that fits.
Ask Us