Three Tracks. One Clear Focus.
Data engineering, MLOps and portfolio-building — the parts of applied AI development that don't get enough dedicated coursework anywhere else.
Back to HomeHow our programs are structured
Sequential modules
Content is ordered so each module prepares you for the next. You don't need to figure out the learning path — it's already set.
Hands-on exercises
Each section ends with an exercise that produces runnable output. You verify your understanding by building something, not by answering multiple choice questions.
Quarterly updates
All three programs are reviewed each quarter and updated when tooling or practices have shifted enough to make the existing content misleading.
Data Engineering Foundations
Coursework on pipelines, storage and preparing data so models can be trained reliably. A practical grounding in the work that supports applied AI. Most learners taking this track have programming experience but haven't worked specifically with data infrastructure before.
- Pipeline design: batch, streaming and hybrid patterns
- Storage choices and formats for different use cases
- Data quality: validation, profiling and testing
- Orchestration tools for managing dependencies
How the track unfolds:
Foundation concepts — what data engineering is and where it sits in the stack
Pipeline patterns — building and testing data movement workflows
Storage and formats — choosing and configuring the right systems
Quality and observability — monitoring your pipelines in production
MLOps & Deployment Track
Coursework on packaging, serving and monitoring models in production-style settings. For learners who want to ship and maintain, not only train. This track covers the lifecycle after training is done — which most other programs treat as an afterthought.
- Model packaging and reproducible environments
- Serving infrastructure: REST APIs, batch endpoints, streaming
- Monitoring for drift, latency and prediction quality
- CI/CD patterns for model updates and rollbacks
How the track unfolds:
Model packaging — containerizing models for portability
Serving patterns — building APIs and endpoints that scale
Monitoring — observing models after deployment
Automation — CI/CD pipelines for model updates
Mentorship & Portfolio Program
Regular mentor sessions plus a guided portfolio of finished projects to demonstrate skills. A supportive track for those preparing to apply for roles, with honest feedback throughout. This program is structured around your actual work, not a fixed course sequence.
- Scheduled one-on-one sessions with an experienced mentor
- Two to three portfolio projects with documentation reviews
- Feedback on how you explain technical decisions
- Preparation for technical discussion of your work
How the program runs:
Orientation session — align on goals and select portfolio projects
Build phase — work on projects with regular mentor check-ins
Review phase — mentor reviews completed work and gives written feedback
Final session — review portfolio as a whole, discuss presentation
Which track is right for you?
Use this to narrow down the program that fits where you are now.
| Feature | Data Engineering ฿3,500 |
MLOps Track ฿9,100 |
Portfolio Program ฿12,250 |
|---|---|---|---|
| Best for | Pipeline & data prep skills | Production deployment skills | Role preparation & portfolio |
| Hands-on exercises | |||
| Mentor sessions | |||
| Portfolio projects | |||
| Self-paced | |||
| Pre-knowledge needed | Basic Python | Python + some ML exposure | Some project work already done |
Shared across all programs
Data Privacy
Learner data is handled carefully. We don't share it with advertising partners or use it for purposes beyond account management and support.
Tested Content
All exercises are run through before release and updated when tools change enough to make the instructions unreliable.
Support Access
All programs include a channel for questions about course content. We aim to respond to queries within one business day.
Clear, fixed prices in Thai Baht
No subscriptions. No hidden add-ons. One payment per program.
Track 01
Data Engineering Foundations
฿3,500
- All module content
- Hands-on exercises
- Support channel access
- Quarterly updated materials
Track 02
MLOps & Deployment Track
฿9,100
- All module content
- Deployment exercises
- Support channel access
- Quarterly updated materials
Track 03
Mentorship & Portfolio Program
฿12,250
- All module content
- Mentor sessions included
- Portfolio project reviews
- Support channel access
Not sure which track to start with?
Send us a message describing where you are now and we'll point you toward the program that fits.
Get in Touch