Education That Respects
Your Effort
inferrajads was founded on the belief that learning AI development should be organised, honest, and grounded in real practice — not empty promises.
Back to HomeBuilt Around Steady, Honest Learning
inferrajads started in Udon Thani, Thailand, in 2021 — not from a flashy pitch, but from a straightforward observation: most AI learning resources either assume too much knowledge or overpromise what's achievable. The founders, a small group of developers and educators with backgrounds in Python, data science, and technical training, wanted to build something different.
The idea was simple: create structured programmes where learners actually write code, receive feedback on it, and build things they can point to. Not a library of videos to watch passively, but a curriculum with clear steps, real exercises, and responses that treat questions seriously.
Since opening, inferrajads has worked with learners across Thailand and neighbouring countries — people changing career paths, professionals looking to add AI skills to their work, and curious individuals who simply want to understand how modern machine-learning tools are built. The pace is theirs to set; the structure is ours to provide.
Practical Skills Through Careful Design
Honest Expectations
We tell learners what each programme covers and what effort it requires. Progress in AI development takes time; we design our curriculum with that reality in mind.
Hands-On by Default
Every module includes exercises you complete yourself. The goal is to build the kind of understanding that only comes from writing and debugging your own code.
Responsive Feedback
Submitted work gets real written responses. Learners understand what they got right, what needs adjustment, and how to approach the next stage more effectively.
Who Runs inferrajads
A small, focused team with backgrounds in software development, machine learning, and education — people who work with the material they teach.
Nattapong Prasit
Co-Founder & Programme DirectorFormer data engineer with eight years building ML pipelines in Bangkok. Designs inferrajads's curriculum structure and oversees programme quality across all three tracks.
Siriwan Anantaya
Lead Mentor & Curriculum AuthorPython developer and former university lecturer with a focus on making technical subjects accessible. Writes course materials and leads the Capstone Track mentorship sessions.
Thomas Walford
Technical InstructorBased in Chiang Mai, Thomas works on the model-building and capstone modules — reviewing student code, running feedback sessions, and keeping materials current with the Python ecosystem.
Our Standards and Practices
The principles we hold ourselves to in programme design, learner support, and data handling.
Pedagogically Reviewed Content
All programme materials are reviewed for clarity and sequencing before release. We update exercises when the tools or libraries they reference change significantly.
Learner Data Privacy
We collect only what's needed to deliver programmes and communicate with learners. No data is sold or shared with third parties for advertising purposes.
Timely Assignment Responses
Submitted assignments receive written feedback within five working days. Capstone learners have scheduled sessions and can expect code review responses within two working days.
Up-to-Date Technical Stack
Programmes use Python 3, current standard libraries such as scikit-learn, pandas, and NumPy, and widely adopted tooling — not outdated frameworks or specialised proprietary tools.
Realistic Outcome Framing
We don't publish employment statistics or income projections. What we describe — portfolio work, skill development, and mentorship — is what learners actually receive.
Accessible Support Channels
Learners can reach the team by email with questions about content, progress, or technical issues. We aim to respond to all enquiries within one working day during business hours.
Structured AI Education for Careful, Motivated Learners
AI development has become more accessible than it was five years ago, but the tools and concepts involved still require deliberate study to understand well. inferrajads's programmes are shaped by that reality. The curriculum moves through Python fundamentals, data handling, and model building in an order that connects each concept to the next — so learners aren't just copying patterns but developing an understanding of why things work the way they do.
The three tracks — a beginner starter, an intermediate model-building series, and a full capstone project — are designed to be taken in sequence or entered at the appropriate level. Each one involves writing code, reading documentation, working through exercises, and submitting assignments for review. The capstone includes regular mentor sessions and code review as part of the structure, not an optional extra.
inferrajads operates from Udon Thani in northeastern Thailand and serves learners across the country and region. All programmes run online, so location is not a constraint. The office is available for in-person consultations for those who prefer a face-to-face conversation before starting. Our working language is English, which reflects both the broader AI development ecosystem and the preferences of the learners who come to us.
We think the most useful thing an AI school can do is be clear about what it provides and what it requires of learners. You'll find that approach throughout our materials, our communications, and the way we structure feedback. Steady effort over time is what builds real capability — and that's what our programmes are built to support.
Have Questions Before You Start?
Send us a message. We'll take time to understand where you are and which programme makes sense for your background and goals.
Get in Touch