Build Real AI Skills.
Work on Real Projects.
Inferna offers project-led coursework in computer vision, machine learning and data engineering. Structured tracks for learners ready to move from reading about AI to building with it.
Three Tracks. One Clear Direction.
Each track is structured around practical deliverables — not lectures alone. Students build, document and evaluate real projects throughout the programme.
Computer Vision Intensive
A project sprint covering image data, model training and evaluation for visual tasks. Practical and outcome-focused across a defined timeframe.
- Image dataset preparation and annotation
- Model training and evaluation cycles
- Documented project deliverable
Applied Machine Learning Track
Project-led learning where students build, evaluate and document real models on practical datasets. Designed for learners ready to move from theory into hands-on work.
- Supervised and unsupervised model work
- Evaluation metrics and model documentation
- Real dataset projects from start to finish
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.
- Pipeline design and implementation
- Storage formats and data quality practices
- End-to-end data preparation workflows
What Makes This Approach Different
The coursework is designed around doing, not watching. Every track produces something you can show, share and build on.
Project-Led from Day One
You work on real problems and build actual deliverables. There are no passive exercises — the coursework moves through a structured project lifecycle.
Paced for Working Learners
Tracks are structured to fit around other commitments. You progress through defined modules with clear weekly scope rather than open-ended self-study.
Code-First, Tools-Second
The focus is on understanding what the code does, not just running frameworks. Students write, modify and evaluate their own implementations.
Documentation as Practice
Each track includes structured documentation tasks. Knowing how to describe what a model does and why decisions were made is part of the work.
Instructor Access
Questions are answered in scheduled sessions and via written channels. Feedback on project work is specific, not generic.
Tracks Build on Each Other
Data Engineering feeds into Machine Learning, which feeds into Computer Vision. Students can follow a single track or build through the full stack at their own pace.
Ready to Start Working on Real AI Projects?
Send us a message and we'll walk you through the tracks that fit your current level and schedule. No prior AI experience is needed for the foundational coursework.
Common Questions
What background do I need before joining a track?
How long does each track take to complete?
What do I actually produce during the coursework?
Are the tracks fully online or do I need to attend sessions?
What is the fee, and how is payment handled?
How is my personal information handled?
Find Us in Chiang Mai
16 Ratchadamnoen Road, Phra Sing, Chiang Mai 50200
Get in Touch
We're happy to answer questions about any track or discuss which programme fits your situation.
Contact Details
Chiang Mai 50200, Thailand
Sat: 10:00 – 14:00
Sun: Closed