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Study AI Development
with People Who Have Worked Through It

Small groups, open curricula, structured lab work. Three programmes built around what it actually takes to understand and deploy machine learning systems.

Request Information View Programmes

+60 7 2864 3517 [email protected] Johor Bahru, Malaysia

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What We Teach

Three programmes with defined syllabi, clear prerequisites, and assessments that require demonstrated understanding.

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AI Engineering Study Group

An eight-week rolling group meeting twice weekly online. Works through a published open curriculum with a facilitator who has taught the material. Group size capped at ten participants.

Reading and reproducing research papers
Laboratory log maintenance
Peer review assessment
Python + undergraduate maths required

RM 640 Enquire

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Production ML Operations

An eleven-week course covering what happens after a model is trained. Versioning, reproducible pipelines, serving architectures, drift monitoring, and incident review with published industry sources.

Containerisation and CI/CD for ML
Feature stores and serving latency
5 contact hours + 9 lab hours weekly
Deployed service as final assessment

RM 2,700 Enquire

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Institutional Curriculum Partnership

A twelve-month engagement for university departments, polytechnics, or corporate academies that want to teach this material themselves. Transfers teaching capability; confers no accreditation.

Curriculum audit and licensed syllabus
Three instructor training weeks
Sandbox compute for one cohort
Quarterly curriculum review calls

RM 4,650 Enquire

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How We Work

The structure reflects what we know about how people actually learn technical material under real conditions.

Small Groups, Fixed Size

Study groups are capped at ten. Participants get time with the facilitator. Questions do not get lost in a large cohort.

Open Curriculum

Syllabi are published before enrolment. You can read the reading list, the lab tasks, and the assessment rubric before committing.

Lab Work, Not Just Lectures

Each programme requires hands-on laboratory output. The Production MLOps course allocates nine lab hours weekly alongside contact sessions.

Sources Named

Where content draws from published frameworks — industry deployment standards, research papers — the source is named in the material.

Facilitators Who Have Done the Work

Sessions are led by people who have worked through the same curriculum and applied it. Not a recorded lecture series with a support ticket.

Institutional Transfer

The partnership programme gives your institution the materials, training, and moderation process to run this yourself. Ownership stays with you.

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Which Programme Fits Your Situation?

Send us a brief note about your background and what you are trying to learn. We will tell you which programme matches and what the prerequisites actually look like in practice.

Send an Enquiry +60 7 2864 3517

[email protected]

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Common Questions

? Do I need a degree to join the study group?

The AI Engineering Study Group asks that participants are comfortable with Python and undergraduate-level mathematics — linear algebra and probability at the level covered in a first-year engineering programme. A degree is not a requirement, but the material assumes that foundation is already in place.

? When do the next cohorts start?

Study groups roll on a schedule published at the start of each quarter. Send an enquiry and we will share the upcoming dates. The Production MLOps course runs on a fixed calendar; the next intake dates are sent on request. The institutional partnership is arranged individually.

? Is the course fully online?

Yes. All sessions are conducted online. The study group meets via video conference twice weekly. MLOps contact hours and lab sessions are also remote. Institutional partners receive on-site instructor training weeks as part of the partnership scope.

? What does assessment look like?

The study group uses peer review and a written reproduction report — you pick a published result from the reading list and reproduce a small part of it, writing up your process and findings. The MLOps course requires a deployed service with monitoring in place, plus a written operational review that you defend in a session.

? Does the partnership programme confer accreditation?

No. The partnership transfers teaching capability — a licensed syllabus, laboratory set, instructor training, and moderation process. Any formal recognition of programmes run by the partner institution is entirely the partner's own responsibility and depends on the partner's own accreditation standing.

? How is pricing handled?

The study group is RM 640 per person per cohort. The MLOps course is RM 2,700 per person. The institutional partnership is RM 4,650 for the twelve-month engagement. Payment details are shared after an initial enquiry. All pricing is in Malaysian Ringgit.

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Our Location

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92 Jalan Abdullah Tahir, 80300 Johor Bahru, Johor, Malaysia

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Get in Touch

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Vectra Grove

Online school for AI development, based in Johor Bahru. Reach us with questions about any programme or to discuss the institutional partnership.

Phone

+60 7 2864 3517