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Programmes

Three tracks, one
connected path forward

Each Cortexa programme has a clear scope, a defined pace, and a practical output at the end. You can take one track or continue through the full sequence — whatever fits your situation.

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Our Approach

How the three tracks are structured

Each track at Cortexa covers a specific phase of AI development learning. Foundations handles the tools and concepts a learner needs before anything else makes sense. Applied takes those concepts and applies them to real model work. Capstone extends into advanced territory with direct practitioner mentorship.

Tracks can be taken individually. But they're designed so that a learner who completes one arrives at the next with the exact background it assumes. No gaps, no unexplained prerequisites.

01

Learn the foundations

Programming for data, probability, how models learn, how they're evaluated.

02

Build working models

Real datasets, milestone feedback, code reviews, and a portfolio project.

03

Go deeper with mentorship

Advanced topics, substantial capstone, and one-to-one guidance from a working practitioner.

Track 01

Foundations of AI Development

A structured starter course covering core programming for data work, the fundamentals of machine learning, and how modern models are built and evaluated. Paced for steady learning with practical, reviewed exercises. Includes a small project and community study group.

Python for data manipulation and basic analysis
Core ML concepts — supervised learning, training loops, evaluation metrics
Reviewed practical exercises at each module end
Small project submission at course completion
Community study group access throughout
฿3,570 per enrolment
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Foundations of AI Development

What you'll cover

01 Programming for data work — variables, data structures, loops, and functions in Python
02 Handling and cleaning tabular data with pandas and NumPy
03 Supervised learning — classification and regression with scikit-learn
04 Model evaluation — accuracy, precision, recall, and when to use each
Applied Model Building

What you'll cover

01 Data acquisition and cleaning on real-world, unfiltered datasets
02 Feature engineering and selection — making decisions, not copying recipes
03 Training loop design and hyperparameter decisions
04 Code review milestones and portfolio project with documentation
Track 02

Applied Model Building

A project-based course where learners build, train, and assess working models on real datasets, with mentor feedback at each milestone. Focused on practical skills and good engineering habits. Includes code reviews and a portfolio-ready project.

Real dataset exercises requiring genuine cleaning decisions
Milestone feedback from instructors at defined checkpoints
Code review at two project milestones
Portfolio-ready project output with written documentation
Prerequisite: Foundations track or equivalent background
฿6,630 per enrolment
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Track 03

Capstone & Mentorship Track

An extended track combining advanced topics, a substantial capstone project, and one-to-one mentorship from working practitioners. Designed for learners ready to deepen their craft over several weeks. Includes structured feedback and a presentation of the finished work.

Advanced AI topics: neural networks, deployment considerations, evaluation at scale
Paired with a practitioner mentor for the full duration of the track
Substantial self-directed capstone project from problem framing to result
Structured written feedback at each phase
Final capstone presentation — verbal and written
฿11,050 per enrolment
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Capstone & Mentorship Track

What you'll cover

01 Advanced ML — deep learning basics, attention mechanisms, and model architectures
02 Project scoping, data strategy, and working through ambiguity
03 Mentor sessions at defined intervals — feedback on real decisions, not generic guidance
04 Capstone presentation — framing, methodology, results, and limitations

Compare Tracks

Which track is right for you?

A feature-by-feature look at what each programme includes.

Feature Foundations Applied Capstone
Programming & ML fundamentalsAssumedAssumed
Real dataset exercises
Reviewed milestone exercises
Community study group——
Code review at milestones—
Portfolio-ready project—
One-to-one practitioner mentorship——
Advanced ML topics——
Capstone presentation——
Price (฿) 3,570 6,630 11,050

Foundations is best for

People starting with limited coding background who want to understand what ML actually involves.

Applied is best for

Learners who have the basics and want to build something real with instructor guidance and code reviews.

Capstone is best for

Learners ready to go further with advanced topics and individual practitioner mentorship over several weeks.

Standards

What applies across all tracks

Data privacy

Submitted work and personal information are stored securely and not shared with third parties.

Regular content updates

All course materials are reviewed every six months and updated when libraries or practices change.

Tested exercises

Every exercise is tested outside the team before release. Unclear instructions are revised before learners see them.

Team support

Enrolment, scheduling, and general questions are handled by the core Cortexa team — not automated queues.

All-inclusive pricing

The listed fee covers everything in the course description. No add-ons or upgrades needed to access stated features.

English instruction

All course content, exercises, and feedback are in English — accessible to learners across Southeast Asia.

Pricing

One-time enrolment fees

All prices in Thai Baht (฿). Payment accepted via bank transfer, credit card, and PromptPay.

Track 01

Foundations

฿3,570

one-time enrolment

  • Core Python & ML modules
  • Reviewed exercises
  • Small project submission
  • Community study group
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Track 02

Most Popular

Applied

฿6,630

one-time enrolment

  • Real dataset model work
  • Instructor milestone feedback
  • Code reviews at 2 milestones
  • Portfolio-ready project
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Track 03

Capstone

฿11,050

one-time enrolment

  • Advanced ML topics
  • 1-to-1 practitioner mentorship
  • Substantial capstone project
  • Final capstone presentation
Enquire

Next step

Not sure which track to start with?

Send us a note — describe your background and what you'd like to be able to do, and we'll suggest a starting point without any commitment required.

Contact the Team