AI development programs

Programs

Three Programs, One Clear Path

Each program is built around a different stage of AI development. You can start wherever you are and go as far as you'd like.

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Methodology

How the Programs Are Built

Connected Module Structure

Content is arranged so each idea leads clearly to the next. The module map shows you exactly where you are in the program and what's ahead, reducing uncertainty and helping with planning.

Practice-Then-Review Cycle

New concepts are introduced, then applied in small exercises before moving forward. Written feedback on each submission helps you catch misunderstandings early rather than carrying them forward.

Schedule Built Around You

Live sessions for the Deep Learning Track and Mentorship Program are scheduled in collaboration with each learner. We work around employment, family commitments, and time zones.

Regular Curriculum Review

Content is reviewed and updated twice a year. If a library version changes significantly or a better teaching example emerges, it's incorporated before the next intake begins.

AI Fundamentals Course

Program 01

AI Fundamentals Course

A gentle introduction to programming with Python, working with data, and the principles of machine learning — taught at a supportive pace. Suited to learners beginning their path who would value clear, patient teaching. Questions are warmly welcomed throughout.

  • Python syntax, data types, and control flow
  • Working with datasets using Pandas and NumPy
  • Introduction to supervised and unsupervised learning
  • Building your first machine learning model with Scikit-learn
  • Evaluating model performance in practical terms

Process Steps

1

Short background questionnaire to set the right starting point

2

Modules delivered with written material and code exercises

3

Submit work for written feedback — no timed exams

4

Final exercise: a complete, working ML pipeline on a real dataset

Program 02

Deep Learning Project Track

A hands-on track focused on building and training neural networks through guided projects, with regular feedback and small-group discussion. A good fit for those comfortable with coding who wish to go further. The schedule flexes around your commitments.

  • Neural network design with PyTorch
  • Convolutional networks for image-based tasks
  • Recurrent architectures and sequential data
  • Training strategies: regularisation, optimisers, debugging
  • Small-group project reviews with peer and instructor input

Process Steps

1

Prerequisites check — confirm you're ready for the track

2

Project-based modules with structured checkpoints

3

Live small-group sessions for discussion and review (schedule agreed in advance)

4

Capstone project: a trained, evaluated neural network of your own design

Deep Learning Project Track
Portfolio and Mentorship Program

Program 03

Portfolio & Mentorship Program

A thorough program in which a mentor supports you through a meaningful AI project, from planning to a polished portfolio piece, with guidance on sharing your work. Suited to dedicated learners looking ahead to new roles. Help is available at each stage.

  • One-to-one mentor sessions at agreed intervals
  • Project scoping and planning support
  • Code review and feedback at each milestone
  • Guidance on writing up and presenting AI work
  • Support at every stage — planning, building, and finishing

Process Steps

1

Discovery call to understand your background and project goals

2

Scoping session to shape a realistic, meaningful project

3

Structured build phase with regular mentor check-ins

4

Final review, write-up, and guidance on sharing the completed work

Comparison

Which Program Is Right for You?

Use this as a quick guide. If you're unsure, send us a message and we'll help you decide.

Fundamentals
฿1,600
Deep Learning
฿6,200
Mentorship
฿9,500
Best for Complete beginners Coders going deeper Dedicated learners
Python from scratch
Machine learning basics
Neural network training
One-to-one mentorship
Portfolio project output
Written feedback on work

Standards

Across All Programs

Data Privacy

Learner data is handled in line with Thailand's PDPA. No sharing with third-party marketing services.

Feedback Turnaround

Written responses to submitted work within three business days. Feedback is specific, not generic.

Current Content

Curriculum reviewed and updated twice yearly. Tools and libraries kept at current stable versions.

Inclusive Pricing

Program fees are all-inclusive. No hidden charges for materials, tools, or supplementary sessions.

Cohort Caps

Group programs are capped for quality. Full cohorts roll to the next intake rather than being expanded.

Open to Questions

Instructors are accessible throughout — not just at scheduled calls. Questions are treated as part of learning, not an inconvenience.

Pricing

Program Fees

All prices in Thai Baht. Each fee is all-inclusive — no additional charges once enrolled.

Fundamentals

฿1,600

per program

  • All course materials
  • Written feedback on exercises
  • Access to instructor Q&A
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Popular

Deep Learning

฿6,200

per program

  • All course materials
  • Written feedback on projects
  • Live small-group sessions
  • Flexible scheduling
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Mentorship

฿9,500

per program

  • All course materials
  • One-to-one mentor sessions
  • Full project support
  • Portfolio write-up guidance
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Not sure where to start?

Tell us about your background and what you're hoping to work towards. We'll suggest a starting point that makes sense for you.

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