Course Catalogue
Three courses. One deliberate path through AI development.
Each course is complete on its own — but they're designed to follow each other, so the skills from one flow naturally into the next.
← Back to HomeHow We Teach
The methodology behind the curriculum
Concept first
Each topic starts with a clear explanation of the underlying idea before moving to code.
Build immediately
Practice follows explanation within the same session — not deferred to an assignment due next week.
Reviewed and discussed
Submitted work receives written mentor feedback, with live discussion where questions arise.
Carry forward
Projects accumulate — you finish a course with more than isolated exercises; you finish with connected work.
Intro to AI & Python
A friendly first course covering Python basics, data handling, and the core ideas behind common models. Designed for newcomers wanting a calm, structured introduction. Includes guided lessons, small practice projects, mentor-supported feedback, and a certificate of completion.
- Python syntax, data types, and control flow
- Working with data using pandas and numpy
- Introduction to machine learning concepts
- Small guided projects each week
- Mentor feedback on every assignment
- Certificate of completion
How the eight weeks are structured:
Python environment, syntax, and your first data scripts
Data handling, cleaning, and exploratory analysis
Introduction to model ideas — regression, classification basics
Capstone mini-project and final review session
Deep Learning Workshop
A practical, project-based course exploring neural networks, modern frameworks, and real datasets. Suited to learners with basic Python seeking hands-on practice. Includes weekly build sessions, code reviews, a capstone, and community access over twelve weeks.
- Neural network fundamentals and architecture
- PyTorch and TensorFlow in practice
- Working with image, text, and structured datasets
- Weekly build sessions and code reviews
- Capstone project
- Community access during and after the course
Twelve-week structure at a glance:
Foundations of neural networks, backpropagation, and framework setup
Convolutional and recurrent networks with real datasets
Training pipelines, evaluation, and debugging
Capstone project — build, present, and review
Applied AI Engineering Program
An extended program covering model development, deployment practices, and collaborative workflows — with portfolio work throughout. Aimed at committed learners preparing for technical roles. Includes mentor guidance, applied projects, peer collaboration, and skills-focused career sessions.
- End-to-end model development pipelines
- Model deployment and API integration
- Collaborative development workflows
- Portfolio projects accumulated throughout
- Individual mentor guidance
- Career sessions with working practitioners
Six-month programme phases:
Engineering fundamentals, version control, and experiment tracking
Applied model development and evaluation with real datasets
Deployment, monitoring, and maintaining models in production
Portfolio review, career sessions, and final presentations
Which Course Is Right for You?
Course comparison at a glance
| Feature | Intro ฿4,000 |
Deep Learning ฿17,000 |
AI Engineering ฿32,700 |
|---|---|---|---|
| Duration | 8 weeks | 12 weeks | 6 months |
| Python required | No | Basic | Intermediate |
| Mentor feedback | |||
| Real datasets | |||
| Capstone project | Mini only | ||
| Portfolio work | |||
| Career sessions | |||
| Certificate | |||
| Best for: Intro → complete beginners · Deep Learning → basic Python users · AI Engineering → committed learners aiming for technical roles | |||
Across All Courses
Standards that apply no matter which you choose
Data privacy
Learner data is used only to support the course experience. We don't sell or share personal information with external marketing services.
Updated content
Frameworks and exercises are reviewed between cohorts. If a tool has been superseded by the time you enrol, the course reflects that.
Small cohorts
Enrolment is capped at a number that allows meaningful mentor-to-learner ratios. When a cohort is full, we say so clearly.
Human support
Questions go to members of the teaching team, not a ticketing system. Response times are typically within one working day.
Honest certificates
Certificates reflect completion of the actual curriculum — not a participation acknowledgment. They specify the course, duration, and scope.
Clear terms
What's included, what isn't, and what the instalment options are — all laid out before enrolment, not after payment.
Pricing
Straightforward fees, no surprises
Prices are in Thai Baht. Instalment arrangements are available for the Applied AI Engineering Program — reach out to discuss.
Beginner
Intro to AI & Python
- 8 weeks duration
- Guided lessons on-demand
- Mentor-reviewed assignments
- Mini capstone project
- Certificate of completion
Intermediate
Deep Learning Workshop
- 12 weeks duration
- Weekly build sessions
- Code reviews from mentors
- Capstone project
- Community access
- Certificate of completion
Advanced
Applied AI Engineering
- 6 months duration
- Individual mentor guidance
- Portfolio built throughout
- Career sessions
- Instalment options available
- Certificate of completion
Not sure which to start with?
Talk it through with the team
Tell us a bit about your background and what you're hoping to work towards, and we'll suggest the most sensible starting point.
Get in Touch