Programme Catalogue
Three Programmes. One Progression.
Each programme is a distinct point of entry into AI Engineering study. They are designed to build on one another — but each stands on its own for participants at the right starting point.
Back to HomepageOur Approach
How the Programmes Are Structured
All three programmes share the same underlying structure: recorded lectures to introduce each topic, a live discussion session to work through questions and edge cases, and a practice component (notebook or project) that requires the participant to actually use what was covered.
The live sessions are scheduled — not drop-in. This is deliberate. The regularity of a scheduled session creates a rhythm that recorded-only courses do not provide. Participants know when to show up, and the session log shows who did.
Before each cohort begins, the programme team reviews the materials from the previous intake. Library versions, example datasets, and tooling choices are updated. Questions that came up repeatedly in past sessions are folded into the material or into the FAQ addendum for that cohort.
The goal is that a participant in the May cohort is not working from the same notebook as one who enrolled eighteen months earlier — even if the underlying concepts are the same.
Programme 01 · 8 Weeks
Python for AI Foundations
RM 480
An eight-week online course covering Python as it is used in AI engineering: notebooks, packages, numerical libraries, and the small habits that make working with data and models easier over time. Each week combines a recorded lecture, a live discussion session, and a small practice notebook. The course is suited for learners with limited prior programming background; the pace is moderate and the practice is incremental.
What the course covers
- Python syntax and the notebook environment
- NumPy arrays and numerical operations
- Pandas for data manipulation and cleaning
- Package management and working environments
- Basic visualisation and data exploration habits
Weekly format
- 1Recorded lecture (approx. 45–60 min)
- 2Live discussion session (60 min, scheduled)
- 3Practice notebook submission
Completion record provided to participants who submit the weekly practice notebooks.
Programme 02 · 10 Weeks
AI Engineering Intermediate Track
RM 1,460
A ten-week intermediate track covering model training, evaluation, deployment patterns, and monitoring practices. The track combines weekly live sessions with self-paced practice and a small applied project at the end. Participants are expected to have completed a foundations course or to have equivalent self-study experience. The track is educational and project-based; the final project is the participant's own work.
Topics across ten weeks
- Supervised and unsupervised learning — training and evaluation
- Model selection, validation, and performance metrics
- Deployment patterns: REST APIs and batch inference
- Monitoring model performance after deployment
- Applied project — participant's own dataset and problem
Track format
- 1Weekly live session with facilitator (75 min)
- 2Self-paced practice materials between sessions
- 3Applied project — weeks 8–10
Prerequisites: Python for AI Foundations or equivalent self-study background in Python and data manipulation.
Programme 03 · 12 Months
Cohort-Based Yearlong Programme
RM 2,920
A twelve-month cohort-based programme for learners who want to study with a small group across a year. The programme combines monthly live cohort sessions, paired courses across the year, and a final capstone project. Each participant is paired with a senior mentor for ongoing study support. The cohort meets monthly online and twice in person during the year. The programme is educational; outcomes depend on the participant's own work and engagement.
Programme structure
- Foundations course integrated in months 1–3
- Intermediate track integrated in months 4–7
- Monthly live cohort sessions throughout
- Senior mentor pairing — ongoing, not just at check-ins
- Two in-person sessions in Kuala Lumpur (months 4 and 11)
- Capstone project — months 8–12, participant-directed
Cohort size is capped. When the next intake is full, enquiries are carried to the following cohort.
Choose Your Programme
Which Programme Fits Where You Are?
Use this table to match your current background and study goals to the right starting point.
| Feature | Foundations RM 480 · 8 wks |
Intermediate RM 1,460 · 10 wks |
Yearlong RM 2,920 · 12 mo |
|---|---|---|---|
| Best for | New to Python or AI tooling | Has Python basics, wants model work | Wants a full year of structured study |
| Live sessions | |||
| Practice notebooks | |||
| Completion record | |||
| Applied project | — | ||
| Senior mentor pairing | — | — | |
| In-person sessions (KL) | — | — | ×2 |
| Capstone project | — | — |
Standards
Across All Programmes
Privacy and Data Handling
Participant data is used only for enrolment processing and programme communication. It is handled in line with the Personal Data Protection Act 2010 (Malaysia).
Pre-Intake Material Review
Before each cohort, the programme team reviews and updates library versions, example code, and reading references. Participants study from current material, not archived versions.
Response Time Commitment
Questions submitted outside live sessions receive a substantive reply within two working days from a facilitator who has reviewed the question — not a template response.
Transparent Programme Terms
Programme fees, what is included, what participants receive upon completion, and what the programme does not provide — all of this is communicated before enrolment, not after payment.
Cohort Size Discipline
Cohort sizes are set before intake opens and are not extended to accommodate late demand. When a cohort is full, the next intake is offered.
All-Inclusive Fees
The programme fee covers all scheduled live sessions, recorded lectures, practice notebooks, session recordings, and — for the yearlong programme — the mentor pairing and in-person sessions. No supplementary charges.
Pricing
Programme Fees
All prices in Malaysian Ringgit (RM). Fees are all-inclusive — no supplementary charges for materials, recordings, or mentor pairings.
8 Weeks
Python for AI Foundations
RM 480
- 8 recorded lectures
- 8 live discussion sessions
- 8 practice notebooks
- Session recordings
- Completion record (on submission)
10 Weeks
Intermediate Track
RM 1,460
- 10 weekly live sessions (75 min)
- Self-paced practice materials
- Applied project (weeks 8–10)
- Session recordings
- Completion record
12 Months
Yearlong Programme
RM 2,920
- Both courses (foundations + intermediate)
- Monthly live cohort sessions
- Senior mentor pairing — full year
- 2 in-person sessions (Kuala Lumpur)
- Capstone project + completion record
Not Sure Where to Start?
Send us a message with a bit of background — what you have studied before, what you are hoping to do with AI Engineering, and how much time you have each week. We will point you to the right starting point.
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