Three Programmes. One Clear Direction.
Whether you're starting from scratch or ready to work on deployment-level challenges, Cortexia has a structured programme that begins where you are and ends with work you can show.
Back to HomeHow Our Programmes Are Structured
Every Cortexia programme follows the same fundamental model — and that consistency is deliberate. The structure is designed to help learners build momentum and finish with work that demonstrates real understanding.
Live Weekly Sessions
Each week opens with a live session: concept explanation, worked examples, and time for questions.
Guided Exercises
Structured exercises using real data and common tools. You work through them independently and submit your code.
Mentor Feedback
Your mentor reviews what you submitted and provides written feedback within one business day.
Portfolio Project
The programme ends with a project you've built under mentorship. Yours to keep, show, and build on.
AI Foundations Programme
A friendly starting programme covering Python basics, working with data, and the core concepts of machine learning through small practical projects. Suited to newcomers building a dependable base. Runs over eight weeks with live sessions, guided practice, and mentor feedback. Includes a first portfolio project and a completion record.
- 01. Python environment setup and syntax fundamentals
- 02. Working with data using Pandas and NumPy
- 03. Introduction to scikit-learn and basic model training
- 04. Portfolio project: build and document a working model
Machine Learning Engineering Track
An intermediate track focused on building, testing, and refining models with real datasets and common tooling. Designed for learners comfortable with basic Python. Runs over twelve weeks with structured projects, code reviews, and small-group mentoring. Includes a set of applied portfolio pieces.
- 01. Data cleaning, exploration, and pipeline construction
- 02. Supervised learning in depth — classification and regression
- 03. Model evaluation, selection, and iteration
- 04. Portfolio pieces: two applied projects with code review
Advanced AI Development & Deployment Programme
A thorough programme covering deep learning, model tuning, and thoughtful deployment, centred on substantial project work and clean engineering habits. Designed for dedicated learners building a strong portfolio. Runs over sixteen weeks with a capstone, one-to-one mentoring, and practical career-preparation support.
- 01. Neural network theory and practical implementation
- 02. Model tuning, validation strategies, and iteration
- 03. Deployment-ready engineering: APIs and serving infrastructure
- 04. Capstone project: substantial piece of work with 1-to-1 mentoring
Which Programme Is Right for You?
Use this comparison to find the clearest starting point. If you're unsure, send us an enquiry and we'll advise based on your background.
| Feature | Foundations | ML Engineering | Advanced AI |
|---|---|---|---|
| Duration | 8 Weeks | 12 Weeks | 16 Weeks |
| Entry requirement | None | Basic Python | ML experience |
| Live sessions | |||
| Code review | |||
| Portfolio project(s) | 1 | 2 pieces | Capstone |
| 1-to-1 mentoring | |||
| Career prep support | |||
| Completion record | |||
| Price | RM 600 | RM 2,400 | RM 4,500 |
Foundations — if you've never written Python or worked with data before, and want a clear, supported starting point.
ML Engineering — if you can write Python confidently and want to build and evaluate models with real data.
Advanced AI — if you're already working with ML and want to move into deep learning and deployment.
What We Hold Ourselves To
These standards apply across all three programmes and all cohorts.
Privacy & Data Protection
Learner information is handled in line with Malaysia's Personal Data Protection Act. We do not share enrolment details with third parties for marketing.
Curriculum Kept Current
Programme content is reviewed between cohorts. We update tooling references and datasets to reflect how the field is currently working, not how it worked two years ago.
Specific Code Review
Mentor feedback addresses your actual submission — not a generic response. Comments cover logic, code quality, and reasoning, not just output correctness.
Capped Cohort Sizes
We limit enrolment per cohort so that each learner gets proportionate mentor attention. Overfull cohorts go to the next intake, not into a larger group.
Responsive Support
Questions submitted by email or cohort channel receive responses within one business day from a person, not an automated system.
Transparent Enrolment Process
Fees, programme scope, and session schedules are confirmed clearly before enrolment is finalised. No surprises after you sign up.
Programme Fees
All prices in Malaysian Ringgit (RM). Fees cover all materials, mentoring, and portfolio support — nothing billed separately.
AI Foundations
- Weekly live sessions
- Guided exercises with mentor feedback
- One portfolio project
- Completion record
- Session recordings
ML Engineering
- Weekly live sessions
- Structured projects with code review
- Small-group mentoring
- Two applied portfolio pieces
- Completion record
Advanced AI
- Weekly live sessions
- One-to-one mentoring throughout
- Capstone project with full support
- Career-preparation support
- Completion record
Still working out which programme to start with?
Send us a message with a bit of background about where you are right now, and we'll suggest the most sensible starting point.
Send an Enquiry