Chalermx
Our Story

A school built around how people actually learn

Chalerm started with a simple question: what would an AI school look like if it put the learner's pace first, not a publisher's schedule?

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How Chalerm began

Chalerm was founded in Hat Yai by a small group of software educators and working AI practitioners who noticed the same thing: most online AI courses were either too rushed, too shallow, or designed for a learner who already had everything figured out.

The name Chalerm means "to nurture" in Thai — it reflects the core of what we do. We are not a platform selling volume. We are a school where each learner has a mentor who follows their progress and gives feedback that is specific to their work, not copied from a rubric.

We opened with three courses that take a learner from no experience at all through to building and deploying complete AI systems. The courses are structured, but the pace is yours. Materials stay accessible. You are not racing a cohort.

Our team includes people who built AI features in commercial products, educators who have taught in Thai universities, and former self-taught developers who remember clearly what it felt like to be confused and searching for a clearer explanation.

What we stand for

  • Patience over pressure

    We believe most learners know what they need — they just need time and honest feedback, not urgency.

  • Honesty about what we offer

    We describe our courses plainly — what they include, how long they take, and who they suit. No inflated claims.

  • Practical work as the goal

    We measure learning by what you can build and explain, not by how quickly you moved through a module.

  • Responsible practice throughout

    Ethics and responsible AI are woven into the material, not added as a disclaimer at the end.

The people behind Chalerm

A small, deliberate team of educators and practitioners based in Hat Yai and working remotely across Thailand.

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Praewa Srisuk

Founder & Lead Educator

Praewa taught computer science at Prince of Songkla University for several years before building Chalerm. She designs the curriculum and mentors learners on the Foundations course.

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Krit Nantawat

ML Engineer & Mentor

Krit worked in data and machine learning at a Bangkok tech company for six years. He leads the machine learning course and reviews portfolio projects in the engineering track.

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Araya Thongsuk

Learning Support & Operations

Araya manages learner communications and schedules, ensuring feedback arrives promptly and no one is waiting too long between messages. Her background is in educational coordination.

How we maintain quality

The standards we follow to make sure every learner gets a consistent, considered experience.

Curriculum Review

Course content is reviewed each quarter against current tools and industry practice. We update materials when the field moves, not on a fixed annual schedule.

Mentor Response Standards

Feedback on submitted work is provided within two working days. We track response times and follow up internally when they slip.

Learner Data Privacy

Learner information and submitted work is held securely and is not shared with third parties. We hold only what is needed to operate the course and communicate with you.

Portfolio Assessment

Projects are assessed against defined criteria by a mentor, not automated scoring. We look for understanding, not just working code.

Clear Course Descriptions

We write course pages to set accurate expectations — duration, workload, prerequisites, and what you will be able to do at the end. No ambiguity.

Ongoing Learner Check-ins

Mentors check in at defined points in each course, not only when tasks are submitted. We notice early if someone is struggling and reach out.

AI education built for Southern Thailand and beyond

Chalerm sits in Hat Yai, a city in Songkhla Province that has become one of the more active technology and education centres in Southern Thailand. The school serves learners across the country and neighbouring countries who want to develop practical AI skills through structured, mentor-led study.

Our courses cover three distinct stages of AI development work. The foundations course introduces the core vocabulary, tools, and ideas behind building with AI — it is designed for anyone curious about the field, regardless of prior background. The machine learning course gives learners hands-on experience with the modelling process, from preparing data through to evaluating results and writing up a portfolio piece. The complete engineering track addresses the full production lifecycle: building a model, serving it, keeping it healthy in deployment, and thinking carefully about its social impact.

We teach in English because the documentation, libraries, and professional communities in AI are predominantly English-language. Learners who study in English find it easier to read the papers, use the tools, and participate in wider technical discussions. Our mentors are comfortable supporting learners who are still building their English confidence alongside their technical skills.

We believe smaller classes, named mentors, and practical work produce more capable learners than volume-scale platforms. Chalerm intentionally keeps its enrolment per mentor low so that feedback remains specific and timely.

Curious about studying with us?

We are happy to answer questions before you commit to anything. Just send a message and we will reply within one working day.

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