Bangkok · Thailand

Study AI Development with care and rigour

Bhumi AI offers structured, thoughtfully paced courses in applied machine learning, MLOps, and AI research — built for learners who want to understand, not just follow along.

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+66 67 524 1893 [email protected] Chatuchak, Bangkok

Our Programmes

Three pathways into applied AI

Each course is designed around a realistic pace — not a sprint. You'll work through material steadily, with problem sets and instructor contact at every stage.

8 weeks · 5 hrs/week

Mathematics Foundations for ML

A careful working-through of linear algebra, multivariable calculus, and probability theory — the mathematical ground beneath practical ML algorithms. Weekly problem sets, discussion, and a paced structure.

Linear algebra and matrix operations
Multivariable calculus for optimisation
Probability theory used in common algorithms
Weekly problem sets and discussion

฿3,600

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Practical · Project-based

MLOps Practical Course

Covers model versioning, deployment pipelines, monitoring, and what separates stable production systems from one-off research. Hands-on assignments using current tooling and a substantial final project.

Model versioning and pipeline design
Production deployment and monitoring
Hands-on assignments with real tooling
Substantial integrating final project

฿17,500

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6 months · Research-oriented

AI Research Methods Programme

A long-form programme covering literature search, empirical study structure, AI research ethics, and the practical work of designing small experiments. Mentor review of a closing research-style project included.

Literature reading and search skills
Empirical study design and ethics
Running and evaluating experiments
Structured mentor review throughout

฿33,800

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Why Bhumi AI

What shapes the way we teach

Structured, Not Rushed

Courses are paced to let concepts settle. Weekly rhythms replace sprint deadlines. Students consistently report that the pacing made the difference in actually retaining material.

Practical Before Abstract

Theoretical grounding matters — but we introduce it in relation to real problems. You'll understand why a tool works before you rely on it.

Instructor Contact Throughout

Questions get answers from people who know the material — not automated responses. Office hours, discussion channels, and regular assignment feedback are part of every course.

Work You Can Point To

Each course ends with a substantial piece of work — a project, a report, or a completed experiment — that you can show to employers or use in further study.

Ethics Woven In

Responsible development practices and research ethics are not an afterthought here. They sit alongside technical material throughout the curriculum.

Clear Pathways Between Courses

Our programmes are designed to connect. Starting with mathematics and moving toward research methods is a coherent progression, not a random collection of topics.

Is this the right time to start?

We're happy to talk through which course fits your background and what you're hoping to do with it. No pressure, just a conversation.

Get in Touch

+66 67 524 1893 [email protected]

Frequently Asked

Questions about our courses

Do I need a technical background to start?

It depends on the course. The Mathematics Foundations course is designed for learners returning to study or filling specific gaps — prior university-level mathematics is helpful but not required. The MLOps course does assume prior ML and software engineering background. The AI Research Methods programme assumes some familiarity with ML concepts. We're happy to discuss your specific situation before you commit.

How much time do the courses require each week?

The Mathematics Foundations course is paced at around five hours per week over eight weeks. The MLOps course varies depending on assignment scope, but typically eight to ten hours per week. The AI Research Methods programme is explicitly designed for learners who can commit substantial time — we recommend treating it as a part-time study commitment over six months.

Are courses taught in English?

Yes. All course materials, assignments, and instructor communication are in English. This reflects the language of the primary technical literature in AI development and prepares students to engage with that literature directly.

What do I receive when I complete a course?

Each course ends with a substantive piece of completed work — a project, report, or experiment — that belongs to you. You'll also receive a completion record from Bhumi AI. We're careful not to oversell credentials; the primary value is the work you've done and the skills it demonstrates.

What is the payment process?

Payment is made in Thai Baht (฿) before the course start date. We accept bank transfer and major card payments. Send us an enquiry and we'll walk you through the enrolment and payment steps. We don't require any deposit before you've had a chance to ask your questions.

Is my personal data kept private?

Yes. We collect only what's necessary to run the programme and communicate with you. We don't sell or share student data with third parties for marketing. You can read our full approach in the Privacy Policy.

Our Location

Find Us in Chatuchak, Bangkok

145/9 Phaholyothin Road, Chatuchak, Bangkok 10900

Get in Touch

Send us a message

We read every enquiry and try to respond within one working day. If you're not sure which programme suits your background, just say so — that's a perfectly reasonable starting point for a conversation.

Phone+66 67 524 1893
Email[email protected]
Address145/9 Phaholyothin Road, Chatuchak, Bangkok 10900, Thailand
Office HoursMonday – Friday, 09:00 – 18:00 (ICT, UTC+7)
Saturday 10:00 – 14:00