Three Tracks · One School
Every Track Is Built Around a Project You Will Finish
From first Python script to a full AI build with mentorship — there is a track for where you are and where you want to go.
← Back to HomeOur Approach
How Modelcraft Tracks Are Structured
Each Modelcraft track follows the same underlying structure: a sequence of modules, each built around a specific task. Before you start a module, a build tile shows you what you will produce, what skills it develops, and how it connects to the next one. This makes it possible to work through the content without wondering whether it is going somewhere useful.
Exercises are designed to produce output — not to demonstrate that you have watched a video. Code blocks run. Datasets are real. When something is unclear, you can ask in the forum and get a specific answer from a mentor who has seen the exercise.
The tracks are self-paced, which means you set the schedule. At the same time, there are checkpoints — points where an assignment gets reviewed, or a session is scheduled — that give the learning a rhythm beyond just moving to the next page.
Build Tiles
Every module summarised before you start it — project, skills, connection to next step.
Forum Access
Questions answered by mentors, not automated replies. Small cohorts keep it manageable.
Assignment Reviews
Submitted work gets specific written feedback — not a score, but notes on what is working and what to adjust.
Standard Tooling
Python, Jupyter, open-source libraries. No custom platforms to learn before you start the real work.
Track 01 · Foundations
Programming for AI: Beginner Workshop
A beginner workshop covering the programming skills most useful for AI work — Python, working with data, and reading code with confidence. Built around small, achievable exercises with clear walkthroughs. A learning experience aimed at building solid foundations, with no pressure to move faster than the material allows.
- Python syntax, variables, functions, and loops
- Reading, writing, and transforming data files
- Understanding what code does, not just copying it
- Introduction to NumPy and pandas for data work
How the Track Progresses
- 1Environment setup — notebooks, file structure, running your first script
- 2Core Python — data types, logic, writing reusable functions
- 3Working with data — reading files, filtering, basic transformations
- 4Final build — a small data processing script with a written walkthrough
Track 02 · Applied Project
Computer Vision Project Track
A project-based track guiding learners through building image-based models step by step — from preparing datasets to testing results. Includes structured assignments, mentor reviews, and a community of fellow learners. The focus is on practical, portfolio-ready projects that reflect how computer vision work is actually approached.
- Dataset collection, annotation, and preparation
- Image preprocessing and augmentation techniques
- Building and training image classification models
- Evaluating results and iterating on model performance
- Portfolio documentation of the completed build
How the Track Progresses
- 1Choosing a domain and collecting a usable dataset
- 2Preparing, annotating, and splitting image data
- 3Building and training a classification model with mentor review
- 4Testing, evaluating, and iterating on the model
- 5Documenting the project for a portfolio write-up
Track 03 · Mentored Build
Capstone Build & Mentorship
An extended mentorship track where learners plan and complete an ambitious AI build with regular guidance from an experienced developer. Includes one-to-one sessions, feedback on work in progress, and community access. A supportive learning experience focused on helping you see a complex project through to a finished state.
- Project scoping and planning with mentor input
- Scheduled one-to-one sessions throughout the build
- Written feedback on code and documentation
- Access to the full learner community during the track
- Final project review and documentation support
How the Track Progresses
- 1Project brief and scoping — choosing a direction with your mentor
- 2Planning the build — data requirements, model decisions, milestones
- 3Building — regular sessions, code reviews, troubleshooting together
- 4Testing and evaluation — assessing what works and what does not
- 5Final write-up and project documentation
Track Comparison
Which Track Is Right for You?
| Feature | Beginner Workshop | Computer Vision | Capstone Build |
|---|---|---|---|
| Best for | Complete beginners | Learners with Python basics | Learners ready for a full project |
| Prior coding needed | Basic Python | Intermediate Python | |
| Mentor assignment reviews | |||
| Community forum access | |||
| One-to-one sessions | |||
| Portfolio-ready project | Small script | ||
| Price (THB) | ฿3,400 | ฿14,200 | ฿28,500 |
Not sure which track fits your starting point? Get in touch and we will help you decide.
Standards We Follow
How All Tracks Are Built and Maintained
Exercises Are Tested Before Publishing
Every exercise in a track is run through by someone who did not write it. If the instructions are ambiguous or the code does not execute cleanly, it is revised before going live.
Content Updated When Tools Change
Python libraries and frameworks change regularly. Track content is reviewed on a rolling schedule and updated when a significant change affects how an exercise works.
Learner Data Handled with Care
Submitted assignments and personal information are stored securely and not used for purposes outside the programme. See our Privacy Policy for details.
Plain Language Throughout
Technical terms are explained when they appear. The tracks are written assuming no prior background — clarity is treated as a feature, not an afterthought.
Structured but Flexible Scheduling
Tracks are self-paced with structured checkpoints. This means learners can progress at a pace that fits their schedule without losing the structure that keeps learning on track.
Honest About What the Tracks Are
Modelcraft tracks develop specific, practical skills. We are direct about what each track covers and what it does not — so learners know exactly what they are signing up for.
Pricing
All-Inclusive Track Pricing in Thai Baht
One price per track — all materials, forum access, and mentor reviews included.
Track 01
Beginner Workshop
฿3,400
- All workshop materials
- Exercise walkthroughs
- Community forum access
- Assignment feedback
Track 02
Computer Vision
฿14,200
- All track materials
- Structured assignments
- Mentor code reviews
- Community forum access
- Portfolio project output
Track 03
Capstone Build
฿28,500
- Full mentorship package
- One-to-one sessions
- Detailed code feedback
- Community forum access
- Final project review
Start a Conversation
Not Sure Where to Begin? We Can Help with That
Get in touch and tell us where you are. We will suggest a starting point and answer any questions about what each track involves day-to-day.
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