AI Development Laboratory
§ 01 — Phra Lab

Structured AI Development Programmes for Working Practitioners


Three focused programmes covering the upstream, evaluation, and operational layers of applied AI work. Built for learners who prefer deliberate study over hurried survey courses.

View Programmes
§ 02 — Programmes

Three Focused Programmes


Data Engineering for AI
01

Data Engineering for AI


A focused course on data ingestion, transformation pipelines, storage considerations, and quality controls that distinguish a reliable data foundation from a brittle one.

  • Data ingestion and pipeline design
  • Quality controls for AI upstream work
  • Maintainable pipeline practices
฿2,900 Enquire
AI Model Evaluation
02

AI Model Evaluation & Testing


A programme dedicated to careful evaluation of AI models — classical metrics, benchmark limitations, meaningful test set design, and what evaluation should mean for deployed systems.

  • Classical evaluation metrics
  • Evaluation harness construction
  • Benchmark limitations and design
฿5,200 Enquire
AI Infrastructure and MLOps
03

AI Infrastructure & MLOps


A practical track focused on containerisation, orchestration, monitoring, and the MLOps practices that support AI systems in production environments.

  • Container and orchestration fundamentals
  • Production monitoring setup
  • Realistic operational pipeline work
฿7,500 Enquire
§ 03 — Why Phra Lab

What Sets This School Apart


Applied, Not Abstract

Every programme centres on practical work with established tools. Concepts are introduced to support doing, not as an end in themselves.

Deliberate Pace

Material moves carefully, so learners leave with a working understanding rather than a surface familiarity they cannot use.

Coherent Stack Coverage

The three programmes address adjacent layers — data, evaluation, operations — so learners can build a complete view of AI system work.

Clear Prerequisites

Each programme specifies who it is suitable for, so learners enter with an honest understanding of the preparation needed.

Small Group Environment

Sessions are kept to a manageable size, which makes questions practical and gives instructors time to engage with individual progress.

Based in Bangkok

Located in Watthana, Bangkok — accessible for learners already working in the city's technology sector, with online delivery also available.

§ 04

Ready to study AI work at a proper depth?


Send an enquiry or call the school directly. We will respond with programme details, scheduling, and answers to any questions about suitability.

§ 05 — FAQ

Frequently Asked Questions


Who are these programmes designed for?
The programmes suit people already working in software, data, or adjacent technical roles who want to develop a more thorough understanding of AI work. Each programme states its suitability clearly — check the solutions page for the specific preparation each one assumes.
How are the programmes delivered?
Programmes are delivered online with structured session scheduling. Learners based in Bangkok may also attend in-person sessions at the Watthana campus on Pridi Banomyong Road when those are scheduled.
How long does each programme take to complete?
The Data Engineering course runs approximately 6 weeks at a part-time pace. The Evaluation programme spans 8 weeks. The Infrastructure and MLOps track runs 10 weeks, reflecting the breadth of operational material. Exact schedules are confirmed at enrolment.
What is the pricing and what does it include?
The Data Engineering course is ฿2,900, the Evaluation programme is ฿5,200, and the Infrastructure & MLOps track is ฿7,500. All fees include access to session recordings, course materials, and exercises for the duration of the programme.
Can I enrol in more than one programme?
Yes. The three programmes cover complementary layers of AI work and are designed to stand alone or be taken together. Enquire about multi-programme scheduling when you contact us.
Is there support available during the programme?
Learners have access to instructor feedback through scheduled review sessions. Questions arising from exercises are addressed within programme sessions, and written queries are responded to by the team within two working days.
§ 06 — Location

Find Our Campus


89 Pridi Banomyong Road, Khlong Tan Nuea, Watthana, Bangkok 10110

§ 07 — Contact

Get in Touch


Contact Details

  • Address

    89 Pridi Banomyong Road
    Khlong Tan Nuea, Watthana
    Bangkok 10110, Thailand

  • Office Hours

    Mon – Fri: 09:00 – 18:00

    Sat: 10:00 – 14:00

    Bangkok Time (ICT, UTC+7)

Send an Enquiry

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