Education That Respects
How AI Development Works
Codeloom was built around one idea: teaching AI through the actual workflows developers use every day, not through simplified analogies and slide decks.
How Codeloom Came Together
Codeloom started in 2022 from a frustration shared by a small group of developers and educators in Bangkok. Most AI courses available to Thai learners at the time focused heavily on theory and high-level overviews, with very little attention to what actually happens when you take a trained model and try to use it in a production system.
The founders had seen too many learners finish multi-month programmes and still struggle to containerise a model, set up a serving endpoint, or document a fine-tuning run properly. That gap — between conceptual understanding and hands-on practice — became the problem Codeloom was built to address.
We kept the course catalogue small deliberately. Three tracks, each with a clear scope, real project work, and feedback loops that actually surface what you need to improve. Online delivery made the school accessible to learners across Thailand without requiring anyone to commute to Bangkok — though our team operates from the city and is reachable during Thai business hours.
"Make AI development education practical, honest, and accessible to learners in Thailand and the wider region."
- Real project work in every track — not exercises with pre-cooked answers
- Feedback that identifies specific gaps, not general encouragement
- Documentation practices taught alongside technical skills
- Responsible evaluation and model assessment included from the start
The Team Behind Codeloom
A small group of developers, educators, and ML practitioners based in Bangkok.
Siriporn Kaewmanee
Co-founder & Curriculum Lead
Former ML engineer with background in production systems. Designed the MLOps track and oversees all curriculum development at Codeloom.
Nattapong Thongchai
Co-founder & Mentorship Director
Has spent years coaching early-career developers preparing for roles in data and AI. Runs the Mentorship & Portfolio Program and trains Codeloom mentors.
Pimwadee Wongprasert
NLP Research Lead
Specialises in language model evaluation and responsible fine-tuning. Leads the Language Model Building Workshop and guides its documentation standards.
How We Keep the Quality of Coursework High
Structured Project Reviews
Every track includes project review points where submitted work is assessed against clear criteria — not just checked for completion.
Regular Curriculum Updates
Course content is reviewed every quarter. If tooling changes or practices shift, the materials are updated before the next intake starts.
Learner Data Privacy
We collect only what's needed to run your enrolment and communications. No data is sold or shared with advertising networks. Full details in our Privacy Policy.
Mentor Vetting Process
Mentors in the Portfolio Program complete an internal review before working with learners. We evaluate both technical knowledge and the ability to give constructive feedback.
Responsible AI Practices
Evaluation methods, bias checking, and model documentation are part of every relevant track — framed as standard practice rather than optional ethics add-ons.
Learner Feedback Loop
We collect structured feedback after each module and use it to identify where course materials need improvement. Learners shape the curriculum over time.
AI Development Education in Thailand
Thailand's developer community has been growing steadily, and interest in machine learning and AI tooling has grown with it. What's been slower to develop is locally-relevant, practical training that takes learners from conceptual understanding to actual implementation — the kind of work that involves packaging models, running evaluations, and producing documentation that others can read and build on.
Codeloom focuses on this specific gap. Our three tracks address different stages and areas of AI development: deployment and operations, portfolio preparation with mentorship support, and language model construction. Each is designed for learners who already have some programming background and want to develop more focused, production-adjacent skills.
Operating entirely online from Bangkok allows us to serve learners across Thailand and the broader Southeast Asian region. All course materials and communications are in English, which is the primary working language in most AI development teams in the region. Our mentors and instructors bring experience from real development environments, and that shapes how the coursework is framed — less about passing assessments, more about building work you can point to.
Transparency is important to how Codeloom operates. We're open about what each track covers, what it costs, and what you'll come away with. We don't make claims about outcomes beyond what the coursework actually prepares you for.
Questions about Codeloom or a specific track?
We're happy to talk through what fits your background. Send a message and we'll respond within one working day.
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