Three AI development courses, each with room to breathe
Each track is self-contained. You can take one or all three, in any order that suits your background.
How these courses are structured
Each track follows the same general pattern — concept by concept, with exercises at each stage and support throughout.
Foundation concepts
Each track opens with the ideas that everything else depends on — explained clearly before we move to application.
Guided exercises
Exercises accompany new material. You practice each concept before moving to the next, not after finishing the whole track.
Project work
Each track culminates in one or more small projects. Instructors review your work and provide written feedback.
Completion & certificate
Once all requirements are met, a digital certificate is issued identifying the specific track and the work completed.
Foundations of Machine Learning
A gentle, thorough introduction to machine learning ideas, with guided practice and steady encouragement. This is a comfortable place to start for curious beginners — the track does not rush through the material, and every concept is explained before it is used.
Core ML terminology and concepts introduced systematically
Supervised and unsupervised learning covered with examples
Python exercises using scikit-learn at every stage
Model evaluation and selection explained in practical terms
Final project with instructor review and written feedback
Model Deployment & MLOps
A practical, calm walkthrough of putting models into everyday use, from packaging to monitoring. This track is for learners who have built models and want to understand what happens when they need to run reliably outside a notebook environment.
Model packaging with Docker and deployment pipelines
CI/CD setup for ML workflows including testing and versioning
Monitoring model performance after deployment
Handling data drift and retraining strategies
Worked deployment exercises using real infrastructure patterns
Natural Language Processing Projects
A hands-on track building small language projects with clear, supportive guidance. Suited to learners who are ready to apply their skills to text tasks in manageable steps. The track includes both English and Thai-language examples.
Text preprocessing, tokenisation, and cleaning pipelines
Classification and sentiment analysis with transformer models
Working with the Hugging Face library and pre-trained models
Thai-language NLP tasks included alongside English examples
Three small build projects reviewed by instructors
Choosing the right track
A quick comparison to help you decide which course fits where you are right now.
| What you want to do | ML Foundations ฿1,750 |
MLOps ฿5,700 |
NLP Projects ฿3,300 |
|---|---|---|---|
| Understand how ML models work from the start | Some background needed | Some background helpful | |
| Deploy a trained model to a production environment | |||
| Build text processing and language projects | |||
| Work with Thai-language text data | |||
| Learn CI/CD and monitoring for ML | |||
| Instructor-reviewed project work |
Not sure which to pick? Get in touch and we will help you decide.
Across all courses
These apply to every track regardless of which one you choose.
Secure access
Course materials are accessed through a secure login. Account and progress data are handled carefully.
Materials kept current
Content is reviewed and updated when the underlying tooling or best practices change meaningfully.
Instructor support
Questions are responded to by the course team, not a bot. Response time is typically within one business day.
Completion certificate
Issued on completion of all course requirements. The certificate names the specific track completed.
Flexible timing
All tracks are self-paced. There are no fixed deadlines, and materials remain accessible for the duration of enrolment.
Privacy respected
Personal information is used only for course administration. Full details in the Privacy Policy.
Course fees
One-time fee per course. All materials, support, and the completion certificate are included.
Beginner
ML Foundations
฿1,750
- All course materials
- Guided exercises
- Final project review
- Instructor support
- Completion certificate
Advanced
MLOps
฿5,700
- All course materials
- Deployment exercises
- Project review & feedback
- Instructor support
- Completion certificate
Intermediate
NLP Projects
฿3,300
- All course materials
- Three project builds
- Instructor review
- Thai NLP content
- Completion certificate
Not sure which course to start?
Tell us a bit about where you are with AI development and we will point you in the right direction.
Get in Touch