AI development education workspace

Build Real AI Skills,
One Practical Step at a Time

Datalume runs structured programmes in machine learning, data engineering, and portfolio mentorship — focused on doing the work, not just reading about it.

Mentor-led feedback
Real datasets used throughout

Three Areas of Study

Each programme covers a specific layer of the AI development stack. You can take them in order or enter at the stage that suits your current background.

Applied Machine Learning

Applied Machine Learning

A hands-on programme where learners build and evaluate practical models on real datasets with mentor feedback. Topics move from data preparation through model selection to evaluation.

  • Practical model construction and iteration
  • Evaluation metrics and result interpretation
  • Regular one-on-one mentor sessions
฿3,500 Enquire
Data Engineering for AI

Data Engineering for AI

A practical track on collecting, cleaning, and pipelining data so it is ready for model development. Learners work with realistic, messy datasets and common pipeline tooling.

  • Data collection and cleaning techniques
  • Pipeline construction for ML-ready data
  • Hands-on work with common industry tools
฿15,500 Enquire
Capstone Mentorship Program

Capstone Mentorship

Extended one-to-one mentoring as learners plan and deliver a substantial portfolio project. The focus is on scope, execution, and presenting the work to others.

  • Dedicated mentor for the full project arc
  • Structured project planning and milestones
  • Portfolio-ready output and presentation support
฿26,000 Enquire

What Makes the Difference

Lab-Style Learning

Every session involves working with data and code — not slides. You leave each session having built or refined something concrete.

Feedback That Moves You Forward

Mentors review your work and give specific, actionable notes. There are no automated grading systems here — a person reads what you produce.

Structured but Flexible

The programmes follow a clear progression. You can enter at any stage that fits your current background without repeating material you already know.

Portfolio Outcomes

The Capstone programme is built around producing a project you can show to others — something that demonstrates how you think about a problem.

Honest Pace

AI skills take time to develop properly. We set realistic workloads and give you room to understand things before moving on.

Bangkok-Based Community

Located in Ratchathewi, Datalume draws learners from across Bangkok. In-person sessions and a local peer network complement the programme content.

Which programme fits where you are now?

Whether you're working through your first ML model or planning a portfolio-level project, there's a programme here for that stage. Send us a message and we'll help you figure out the right starting point.

+66 2 583 6914 [email protected]

Questions About the Programmes

Do I need prior experience in AI or programming?

The Applied Machine Learning programme is the most accessible starting point. Some familiarity with Python is helpful, but not required. The Data Engineering track assumes basic comfort with scripting. The Capstone Mentorship is intended for learners who have already completed some foundational work.

How long does each programme take?

The Applied ML programme typically runs 8–10 weeks depending on your pace. Data Engineering for AI runs 10–14 weeks. The Capstone Mentorship is a longer engagement — usually 3 to 5 months — because it follows the arc of a full project. Timelines are discussed with each learner before enrolment.

Are sessions in person or online?

We offer both. In-person sessions take place at our Ratchathewi location in Bangkok. Remote learners can follow the same programme via video calls. Many participants mix both formats depending on their schedule.

What is included in the programme fee?

Each fee covers access to structured programme materials, mentor session time, dataset resources, and written feedback on your work. Any additional software or tooling needed is open-source and free to use.

Can I take more than one programme?

Yes. The three programmes are designed to build on each other naturally. A number of learners complete Data Engineering first, then move into Applied ML, and eventually into the Capstone. Others enter at whichever stage fits their existing knowledge.

How is my progress tracked?

Progress is tracked through the work you submit — notebooks, pipelines, project drafts. Mentors review each submission and provide written notes. There are no formal exams. The emphasis is on whether your work shows developing understanding, not on test scores.

How do I enquire or enrol?

Fill in the contact form below or call us directly. We'll arrange a short conversation to discuss which programme suits your background and goals before any enrolment takes place.

Find Us in Bangkok

154 Thanon Petchaburi, Thanon Phaya Thai, Ratchathewi, Bangkok 10400

Get in Touch

Contact Details

Address

154 Thanon Petchaburi, Thanon Phaya Thai,
Ratchathewi, Bangkok 10400, Thailand

Working Hours

Monday – Friday: 9:00 – 18:00
Saturday: 10:00 – 15:00
Sunday: Closed

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