The Full Logicraft Curriculum
From first principles to a mentored capstone project — each course builds on the last. Review all three below and decide where you want to begin.
Back to HomepageHow Each Course Is Structured
Clear Scope Up Front
Every course page states exactly what is covered, what background is assumed, and what the deliverable will be before you enroll.
Pipeline-Stage Modules
Modules are ordered like stages in a real AI project — each one assumes the previous is understood and builds forward.
Reviewed Submissions
Exercises and milestones are reviewed by a person. Feedback is written specifically for each submission, not generated or templated.
Tangible Output at the End
Each course ends with something you produced — not just a score. Project work is portfolio-appropriate and owned by the learner.
Foundations of AI Development
฿4,250
A structured starter course covering core programming for data work, the fundamentals of machine learning, and how modern models are built and evaluated. Paced for steady learning with practical, reviewed exercises. Includes a small project and community study group.
What You Will Work Through
- Core Python patterns for data manipulation and processing
- Fundamental machine learning concepts with working examples
- How models are trained, validated, and evaluated
- A small practical project with instructor review
- Access to a community study group throughout
Course Stages
Environment & Data Tools
Set up a working environment, explore real datasets, write clean data-handling code.
ML Fundamentals
Understand training loops, loss functions, and evaluation metrics through hands-on exercises.
Project & Review
Build a small model on a provided dataset. Submit for instructor review and iterate.
Applied Model Building
฿6,970
A project-based course where learners build, train, and assess working models on real datasets, with mentor feedback at each milestone. Focused on practical skills and good engineering habits. Includes code reviews and a portfolio-ready project.
What You Will Work Through
- Selecting and preparing real-world datasets
- Training and evaluating models with milestone checkpoints
- Code review sessions at each milestone
- Good engineering practices: versioning, documentation, reproducibility
- A portfolio-ready project you own at completion
Course Stages
Dataset Selection & Preparation
Work with real data: clean, structure, and understand it before modeling.
Model Training & Evaluation Loops
Build iterative training pipelines. Learn to read evaluation outputs critically.
Code Review & Engineering Habits
Submit code for review. Discuss trade-offs, readability, and maintainability with the instructor.
Portfolio Project Completion
Finish, document, and present your completed model project.
Capstone & Mentorship Track
฿11,390
An extended track combining advanced topics, a substantial capstone project, and one-to-one mentorship from working practitioners. Designed for learners ready to deepen their craft over several weeks. Includes structured feedback and a presentation of the finished work.
What You Will Work Through
- Advanced topics chosen in collaboration with your mentor
- A substantial capstone project designed around your goals
- Scheduled one-to-one sessions with a practitioner mentor
- Structured feedback at each phase of the project
- A final presentation of the completed capstone
Track Phases
Advanced Topic Study
Cover selected advanced content with your mentor guiding depth and direction.
Capstone Project Design
Define your project scope, dataset, and methodology with mentor input.
Build, Review, Iterate
Work through the project with regular check-ins and structured feedback sessions.
Final Presentation
Present your completed work to your mentor. Receive a final written assessment.
Which Course Is Right for You?
| Feature | Foundations ฿4,250 |
Applied ฿6,970 |
Capstone ฿11,390 |
|---|---|---|---|
| Core ML concepts | |||
| Real dataset project | |||
| Code review sessions | |||
| Portfolio-ready project | |||
| One-to-one mentorship | |||
| Substantial capstone project | |||
| Community study group | |||
| Best for | New to AI development | Building working models | Deep, mentored craft work |
Technical Standards We Maintain
Data Privacy — PDPA Aligned
All learner enrollment and submission data is handled in line with Thailand's Personal Data Protection Act. No data is shared with third parties for commercial purposes.
Milestone Response Windows
Published turnaround times for milestone feedback are communicated at enrollment and maintained throughout the course. You will not be waiting indefinitely for a review.
Annual Content Revision
All course material is reviewed and updated each year. Sections referencing outdated tools or deprecated libraries are replaced before the next cohort begins.
Screened Mentor Eligibility
Mentors for the Capstone Track are reviewed for current field experience before being added to the network. Only practitioners with active AI development work are onboarded.
Working Code Examples
All example code in course materials is tested against the versions of tools currently covered. Code that no longer runs is fixed before material is published.
Clear Enrollment Terms
Pricing, scope, and any restrictions are documented before enrollment. See our Terms & Conditions for full detail.
Course Fees in Thai Baht
Foundations
฿4,250
per enrollment
- 6–8 weeks self-paced
- Reviewed exercises
- Small project included
- Community study group
Applied Model Building
฿6,970
per enrollment
- 8–10 weeks with milestones
- Real dataset project
- Code review sessions
- Portfolio-ready output
Capstone Track
฿11,390
per enrollment
- 12+ weeks, mentor-guided
- One-to-one mentorship
- Substantial capstone project
- Final presentation
Not Sure Where to Begin?
Send a message and describe your current background. The Logicraft team will suggest which course makes sense as a starting point.
Get in Touch