Three Tracks,
One Iterative Approach
From first Python script to deployed model — Loopcraft courses are structured around practice cycles, real projects, and written feedback from instructors who've done this work themselves.
← Back to HomeThe Loopcraft Learning Method
Introduce
Each module starts with a clear, concise explanation of the concept — no lengthy theory blocks.
Demonstrate
A worked example shows the concept in action with real code you can read line by line.
Practice
You write and run your own version. The task is specific and constrained — useful for building the right habits.
Review
An instructor reads your code and responds with specific, written feedback before you move to the next module.
Coding & AI Basics
A beginner course covering Python fundamentals and the core ideas of AI, taught through small, repeatable practice tasks. Suited to learners new to coding. Includes guided exercises and a supportive community.
Course Price
฿3,500How This Track Works
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1Enrol and get access — You receive module access after enrolment is confirmed. No waiting for a cohort start date.
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2Work through Python fundamentals — Variables, data types, loops, functions, and basic data structures — taught through short exercises you run yourself.
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3Move into AI concepts — You apply your Python knowledge to simple AI tasks: data loading, basic model training, interpreting outputs.
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4Complete a small portfolio project — The track closes with a guided project that pulls together what you've practised.
ML Practice Track
A hands-on track building machine-learning projects through iterative, guided practice. Designed for learners with basic Python wanting real experience. Includes code feedback and a structured portfolio.
Course Price
฿14,500How This Track Works
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1Review Python readiness — A short diagnostic check ensures you're ready for the ML content. If gaps appear, you get targeted practice before the main modules.
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2Work through guided ML projects — Each module centres on a real dataset and a specific modelling task. You write the code; your instructor responds with feedback.
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3Iterate and refine — Based on feedback, you revisit and improve your work before the next module unlocks. The revision step is built into the structure.
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4Build a portfolio of three projects — The track ends with three completed ML projects you understand, can describe, and can show to others.
Mentored Iteration Program
A mentor-supported program covering deeper development skills, from model building to deployment fundamentals. Created for committed learners refining a portfolio. Includes mentoring and group workshops.
Course Price
฿31,000How This Track Works
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1Intake conversation — Before the program starts, you speak with your assigned mentor to map your background and agree on a development focus for the program.
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2Structured module work — You work through advanced modules on model architecture, feature engineering, evaluation approaches, and deployment basics at a pace agreed with your mentor.
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3Regular mentor sessions — Sessions are scheduled at regular intervals to review your code, address blockers, and adjust direction based on your progress.
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4Group workshops — Small-group workshops (max 8 participants) run throughout the program, covering topics like model deployment, code review practice, and project presentation.
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5Portfolio review and wrap-up — The program closes with a portfolio review session where your mentor provides final notes and recommendations for what to develop next.
Which Track Is Right for You?
| Feature | Coding & AI Basics ฿3,500 |
ML Practice Track ฿14,500 |
Mentored Iteration ฿31,000 |
|---|---|---|---|
| Prior coding needed | None | Basic Python | Python + some ML |
| Written feedback | |||
| Portfolio projects | 1 project | 3 projects | 3+ refined projects |
| Mentor sessions | |||
| Group workshops | |||
| Deployment skills |
Best for:
Complete beginners with no coding background who want a structured, low-pressure entry point.
Best for:
Learners who can already write basic Python and want hands-on experience with real ML projects.
Best for:
Committed learners who want direct mentoring, workshop participation, and deployment-ready skills.
Standards Applied to Every Course
Current Tools Only
All courses use library and language versions that working developers are actually running. Curricula reviewed quarterly.
Written Feedback
Every exercise receives an instructor response that addresses the specific code you submitted — not a generic template.
Flexible Scheduling
No mandatory live sessions. Work through modules when your week allows, with pacing adjustments available on request.
Data Privacy
Learner data stored securely. No sharing with third parties for marketing. Compliant with applicable Thai and international standards.
Portfolio Outcomes
Every track ends with actual project work. Code you wrote, understand, and can discuss — not a download certificate.
Responsive Support
Questions are answered by a person. Typical reply within one business day during ICT office hours.
Course Fees in Thai Baht
All prices are in Thai Baht. Payment details and available methods are confirmed at enrolment — no charges before you agree.
Track 01
Coding & AI Basics
฿3,500
One-time enrolment fee
- Full module access
- Guided exercises
- Written feedback
- Community access
Track 02
ML Practice Track
฿14,500
One-time enrolment fee
- All Track 01 features
- 3 ML portfolio projects
- Code feedback per module
- Flexible pacing
Track 03
Mentored Iteration
฿31,000
One-time enrolment fee
- All Track 02 features
- 1-on-1 mentor sessions
- Group workshops
- Deployment fundamentals
Not Sure Which Track Fits?
Tell us about your background and what you'd like to develop. We'll help you figure out the right starting point without any pressure.
Send a Message