AI development course hero

Kuala Lumpur · Online · Cohort-based

Three courses that show you the full fabric of AI development — module by module.

Foundations of Machine Learning, Applied Language Model Engineering, and a Team Capability Programme. Each course states its prerequisites, contact hours, and assessment format before anything else.

+60 3 2794 1568 [email protected] Cohorts capped at 24 seats Published syllabi, named prerequisites

What We Offer

Three structured programmes

Each programme describes its own requirements upfront. No enrolment control appears until you have read the full scope.

Foundations of Machine Learning
01 — Part-time · 12 weeks

Foundations of Machine Learning

Linear algebra, probability, gradient-based optimisation, regression, classification, regularisation, and evaluation methodology. Assumes comfort with Python and basic scripting.

Workload

4 contact hours / week · 6–8 hrs self-study

Assessment: 3 graded assignments + written reflection

Cohort cap: 24 seats

Applied Language Model Engineering
02 — For developers · 10 weeks

Applied Language Model Engineering

Tokenisation, transformer architecture, fine-tuning, retrieval-augmented generation, evaluation, red-teaming, prompt design, cost and latency budgeting, deployment behind an API. Safety and governance practice with sources named.

Workload

6 contact hours / week · ~10 hrs project work

Assessment: working project + 15-min review

Prerequisite: ML foundations or equivalent

Team Capability Programme
03 — Business · 16 weeks

Team Capability Programme

Delivered to a single employer's engineering team of up to 15 people. Begins with a capability review, then weekly live sessions, code review clinics against the team's own repositories, and a supervised internal project from concept to a deployed service.

Workload

Weekly live sessions + code review clinics

Includes follow-up clinics at 3 and 6 months

Up to 15 seats per cohort

Why Nyxlearn

What makes these programmes different

Prerequisites named up front

A self-assessment is published for each course so you can judge your own readiness before applying.

Published workload, not vague estimates

Contact hours, self-study hours, and assessment format are stated on every course page before pricing appears.

Small cohorts, tutor reads every submission

The ML Foundations cohort is capped at 24 so tutors can engage with every assignment individually.

Project deployed to a real environment

The LLM Engineering course assessment requires deploying a working project to a sandbox and defending it in a review session.

Safety and governance with sources named

Where topics touch published safety practice, the source is cited. No unsupported claims about AI behaviour.

Team programme uses your own codebase

Code review clinics run against the team's actual repositories, and the internal project is taken from the employer's own backlog.

Speak to someone before you decide

Send a message and we will answer your questions about prerequisites, workload, assessment, and what a typical week looks like. No pressure, no sales call unless you ask for one.

[email protected] · 45 Jalan Pinang, 50450 Kuala Lumpur

Questions

Frequently asked questions

Do I need a machine learning background to enrol in the LLM Engineering course? +

Yes. The Applied Language Model Engineering course requires prior completion of a foundations course or demonstrable equivalent experience. A self-assessment checklist is published on the course page so you can evaluate your readiness yourself before getting in touch.

What does "contact hours" mean, and are sessions recorded? +

Contact hours are live cohort sessions where you are in a call with a tutor and other participants. For the Team Capability Programme, sessions are recorded and the recordings are retained by the employer as part of the curriculum handover. Individual course cohort sessions are not currently distributed as recordings.

Is the completion record an accredited qualification? +

No. A written record of completion is issued upon finishing a course. It is a record of attendance and assessed work, not an academic qualification and does not carry accreditation from a Malaysian or international body. Nyxlearn does not make claims about employment or career outcomes tied to completion.

How does the Team Capability Programme pricing work? +

The listed price of RM 4,600 reflects a standard fifteen-seat engagement. The programme is scoped per cohort following an initial capability review of the team. Teams with different sizes or stack requirements may have different scopes; contact us to discuss your situation before a figure is agreed.

When do cohorts start, and how far in advance should I apply? +

Cohort dates are published on the solutions page and updated when new intake opens. Given the 24-seat cap on individual courses, places fill several weeks before the start date. We recommend sending a message well in advance so we can confirm your spot and share preparatory reading.

What programming language is used in the coursework? +

Python throughout. The Foundations course assumes you are already comfortable with Python and basic scripting — this is not a Python course. For the Team Capability Programme, code review clinics are run against the team's own repositories, which may include other languages, but the taught content uses Python-based tooling.

How is personal data handled during enrolment? +

Data collected through the enquiry form is used only to respond to your message and, if you enrol, to administer your course place. We do not share your data with third parties for marketing. Full details are in our Privacy Policy.

Find Us

Our Location

45 Jalan Pinang, 50450 Kuala Lumpur, Malaysia

Get in Touch

Ask us anything

We answer questions about prerequisites, workload, cohort dates, and team pricing.

Contact Details

  • Address

    45 Jalan Pinang
    50450 Kuala Lumpur, Malaysia

  • Office Hours

    Monday – Friday: 9:00 AM – 6:00 PM MYT
    Saturday: 10:00 AM – 2:00 PM MYT
    Sunday & public holidays: closed

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