Where You Fit in the AI Stack,
Understood Clearly
Practical programmes in Petaling Jaya covering language models, fine-tuning, and portfolio preparation — each placed within a broader system view so you always know which layer you are working on.
Three Programmes, Three Layers
Each programme sits at a defined position in the AI development stack. You choose the layer that matches where you are now.
Introduction to Language Models for Non-Engineers
A four-week evening programme for product managers, analysts, designers and operations staff who work alongside engineering teams. Covers what language models do and do not do, tokens and context, prompting as specification writing, evaluating output quality, cost drivers, and where these systems tend to fail.
- Assumes general computer literacy, no programming
- Weekly live sessions + written glossary in English & Malay
- Practical short exercises each week
RM 780
Fine-Tuning and Adaptation Programme
A ten-week programme covering parameter-efficient adaptation, dataset construction for supervised fine-tuning, preference data, evaluation before and after adaptation, deployment of adapted open-weight models, and honest assessment of when adaptation is the wrong tool.
- Assumes solid Python and prior deep learning coursework
- GPU credits included, three mentor sessions
- Capstone: adapt a model for your own domain task
RM 3,640
Portfolio and Interview Preparation Support
A six-week supplementary programme for learners who have finished technical coursework and want their work presented clearly. Covers repository structure, documentation, writing up projects, preparing a short technical talk, whiteboard practice, and two recorded mock interviews with written feedback.
- For learners who have completed technical coursework
- Two recorded mock interviews with written feedback
- Preparation and practice only — no hiring arrangements
RM 1,340
What Sets the Stack Apart
Layer-First Framing
Every session is placed within the broader AI system diagram, so learners always understand which component they are working on and what sits above and below it.
Honest Scope Statements
Each programme states upfront what it assumes and what it does not cover. No inflated syllabi, no hidden prerequisites.
Mixed Cohorts by Design
Technical and non-technical learners are separated into the right programmes, so sessions stay at the appropriate depth without compromising either group.
GPU Credits Included
The fine-tuning programme includes compute credits, so learners are not blocked from running experiments by infrastructure cost.
Bilingual Reference Material
The introductory programme ships a glossary in both English and Malay, useful for learners who move between languages at work.
Written Feedback on Work
From weekly code review in the fine-tuning programme to written mock interview debrief notes — feedback is written, not verbal only.
Which Layer Are You Building On?
Pick the programme that matches your current position in the stack and send us a message. We will confirm availability and walk you through what to expect before you commit.
Common Questions
Do I need a programming background for the introductory programme?
No. The introduction is written for product managers, analysts, designers and operations staff. General computer literacy — using software at work, navigating files — is all that is assumed. No Python, no maths prerequisites.
What Python level is required for the fine-tuning programme?
Solid, working Python — functions, classes, file I/O, the standard data stack — plus prior exposure to deep learning concepts such as gradients, loss functions and training loops. If you have completed an introductory deep learning course and written training scripts before, you are likely in range.
Are sessions in person or online?
The introductory programme runs as evening sessions. Format — in-person at Ara Damansara or live online — is confirmed at enrolment depending on cohort size and logistics. The fine-tuning and portfolio programmes run with a mix of live sessions and asynchronous code review.
What happens during the portfolio programme's mock interviews?
Each mock interview is recorded and followed by a written feedback document covering technical accuracy, communication clarity and areas to develop. You keep the recording. No placement or referral service is attached — this is preparation and practice only.
Can I take the portfolio programme without taking other Bayang Labs programmes first?
Yes, if you have completed equivalent technical work elsewhere. The portfolio programme is open to anyone who has existing project work they want presented clearly. We will ask to see a brief overview of your background before confirming enrolment.
What is the refund or withdrawal policy?
Full details are in our Terms and Conditions. In general, withdrawals before the programme start date are eligible for a partial refund. Please contact us as early as possible if your plans change.
Is there a certificate on completion?
A completion record is issued upon finishing a programme. Bayang Labs programmes are not accredited by any external body and we do not make claims about credit transfer or regulatory recognition.
Our Location
Bayang Labs — 51 Jalan Ara, Ara Damansara, 47301 Petaling Jaya, Selangor
Send Us a Message
Contact Details
Phone
+60 3 7831 4692Address
51 Jalan Ara, Ara Damansara,
47301 Petaling Jaya, Selangor
Office Hours
Monday – Friday: 9:00 am – 6:00 pm
Saturday: 9:00 am – 1:00 pm
Sunday & Public Holidays: Closed