/ COURSE CATALOG /
Three ways to build your AI development skills
Each course is a self-contained workshop, structured around real projects rather than passive lessons.
Our approach
How we design each course
Every Neuralcraft course follows the same underlying method: break the subject into a checklist of small, testable steps, give learners a real dataset or project to work on, and pair that with feedback at the level appropriate to the course. Foundations rely on community support, while the Applied Track and Portfolio Studio add direct mentor review.
Quality assurance runs through periodic review of course material against current applied machine learning practice, and through consistent mentor calibration so feedback stays useful and specific across cohorts. Timelines are flexible by design, since we know learners bring different amounts of available time each week.
Best for newcomers
AI Foundations Short Course
A gentle entry course covering Python basics, working with data, and the core ideas behind machine learning, built for newcomers. Learners follow small, guided exercises at a comfortable pace and build a first simple project.
- Recorded lessons and guided practice notebooks
- A first simple project of your own
- Community space for questions
- Python and environment setup
- Working with data structures
- Core machine learning ideas
- Build your first project
฿4,500
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Best for steady progress
Applied Machine Learning Track
A structured programme where learners build several practical models across real datasets, with code reviews and mentor feedback along the way. Suited to those with some coding background who want steady, hands-on progress.
- Weekly live sessions and project briefs
- Code review from a mentor on each model
- A growing personal portfolio
- Dataset selection and preparation
- Model building and evaluation
- Mentor code review cycle
- Portfolio consolidation
฿18,000
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Best for committed learners
AI Engineering Portfolio Studio
An in-depth studio where learners design and build a substantial applied project end to end, guided by mentors and peer review. Aimed at committed learners preparing a strong portfolio piece to show their skills.
- One-to-one mentoring sessions
- Detailed code walkthroughs
- Shareable project record on completion
- Project scoping with a mentor
- Iterative build with peer review
- Code walkthrough sessions
- Final project record and presentation
฿35,000
Contact UsChoosing a course
Compare the three courses
| Feature | Foundations | Applied TrackMost Popular | Portfolio Studio |
|---|---|---|---|
| Prior coding needed | |||
| Mentor feedback | |||
| Live sessions | |||
| One-to-one mentoring | |||
| Shareable project record | |||
| Price | ฿4,500 | ฿18,000 | ฿35,000 |
Not sure where to start? The Foundations course suits complete beginners; the Applied Track suits those with some coding background; the Portfolio Studio suits learners ready to commit to one substantial project.
Consistent across every course
Standards We Follow
Privacy Practices
Learner data and submitted project work are handled under clear, published privacy practices.
Quality Review
Course material is periodically checked against current applied machine learning practice.
Responsive Support
Mentor and community responses are targeted to arrive within a reasonable, consistent window.
Consistent Method
Every course follows the same checklist-based structure, regardless of subject depth.
Investment
Course Pricing
Applied ML Track
฿18,000
per programme
- Weekly live sessions
- Mentor code reviews
- Growing portfolio
Portfolio Studio
฿35,000
per studio
- One-to-one mentoring
- Code walkthroughs
- Shareable project record
Ready to pick your starting point?
Tell us a bit about your background and goals, and we'll help you choose the right course.
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