Find Your House of Learning
Three structured AI programmes designed around community, mentorship, and a pace that fits real life. From your first Python script to deploying neural networks.
Back to HomeHow Every Programme is Structured
Each Ilmu Nexus programme follows the same community-first model: a small cohort of learners, regular mentor clinic hours, a peer space for daily questions, and a personal capstone project at the end. Content is reviewed before each cohort starts to keep it current.
Lessons are recorded so you can revisit them. Exercise files stay accessible throughout. And at the end of every programme, we give you a clear direction for where to go next — not just a certificate and a goodbye.
Small Cohorts
Kept to a size that allows real mentoring
Recorded Lessons
Review any session at your own pace
Peer Courtyard
Community space for daily questions
Capstone Project
Something real to show at the end
First Steps in AI Development
A welcoming place to begin. Over seven weeks you learn Python fundamentals, basic data handling, and how a simple model is trained — with plenty of room to ask questions. Community courtyards pair you with peers, and a mentor hosts weekly clinics at a relaxed pace. You complete a small, personal project and leave with a clear next step.
What's Covered
- Python syntax and data structures
- Basic data handling with pandas
- Training a simple classification model
- Weekly mentor clinic access
- Personal capstone project with feedback
How It Unfolds
- 1 Weeks 1–2: Python foundations and environment setup
- 2 Weeks 3–4: Data handling and basic visualisation
- 3 Weeks 5–6: Training and evaluating your first model
- 4 Week 7: Personal capstone project and mentor review
Practical Machine Learning Cohort
A community-led track for learners ready to build real things together. Across eleven weeks you work through data pipelines, model building, and careful evaluation, supported by group reviews and mentor feedback. Projects draw on familiar local contexts so the work feels meaningful. Lesson recordings, exercise files, and an active peer space are part of the programme.
What's Covered
- Data pipeline design and preprocessing
- Model selection, training, and hyperparameter tuning
- Evaluation metrics and validation strategies
- Group project review sessions
- Malaysian-context project datasets
How It Unfolds
- 1 Weeks 1–3: Data collection, cleaning, and pipelines
- 2 Weeks 4–7: Model building, training, and evaluation
- 3 Weeks 8–10: Group project work and peer reviews
- 4 Week 11: Final project presentation and mentor feedback
Deep Learning Builders Programme
An advanced track for developers who want to go further with neural networks while staying part of a close community. Over thirteen weeks you study modern architectures, training methods, and thoughtful deployment, finishing with a capstone shaped through mentor guidance. The small cohort keeps support personal, and you keep access to materials and the alumni courtyard afterwards.
What's Covered
- Neural network architectures (CNNs, RNNs, Transformers)
- Training methods and optimisation strategies
- Thoughtful deployment and monitoring
- Mentor-guided capstone project
- Permanent alumni courtyard access
How It Unfolds
- 1 Weeks 1–4: Neural architectures and PyTorch fundamentals
- 2 Weeks 5–9: Training methods, regularisation, and evaluation
- 3 Weeks 10–12: Deployment, monitoring, and capstone build
- 4 Week 13: Capstone presentation and alumni onboarding
Which Programme Fits You?
Use this table to find the right starting point. If you are unsure, send us a message — we are happy to help.
| Feature | First Steps | ML Cohort | Deep Learning |
|---|---|---|---|
| Prior coding needed | None | Basic Python | Intermediate ML |
| Duration | 7 weeks | 11 weeks | 13 weeks |
| Price | RM 940 | RM 1,430 | RM 1,830 |
| Weekly mentor clinic | |||
| Peer community courtyard | |||
| Recorded lessons | |||
| Capstone project | |||
| Group project reviews | |||
| Alumni courtyard access | |||
| Best for | Complete beginners | Early practitioners | Experienced builders |
What Every Programme Upholds
Learner Data Privacy
All personal data is handled under Malaysia's PDPA 2010. No sharing without explicit consent.
Current Content
Curriculum reviewed before each cohort. Tools and methods kept aligned with current industry use.
Cohort Size Limits
We cap enrolments to preserve the quality of mentor attention and peer community.
Transparent Scope
Programme outlines and pricing are published clearly before you need to contact us.
Learner Feedback Loops
Mid- and end-of-cohort surveys are reviewed. Actionable suggestions are addressed promptly.
Practitioner-Led Delivery
All mentors have industry experience in AI/ML engineering — not only academic backgrounds.
Clear Prices, Everything Included
One fee covers the entire programme — mentor clinics, recordings, exercise files, and community access. No hidden tiers.
First Steps
RM 940
7-week programme
- Python & data fundamentals
- Weekly mentor clinic
- Peer community access
- Recorded lessons
- Capstone project
ML Cohort
RM 1,430
11-week programme
- Data pipelines & model building
- Group reviews & mentor feedback
- Local-context projects
- Lesson recordings & exercise files
- Capstone project
Deep Learning
RM 1,830
13-week programme
- Neural architectures & deployment
- Mentor-guided capstone
- Small cohort — personal support
- Permanent alumni courtyard access
- All materials kept indefinitely
Not Sure Which to Choose?
Tell us a little about your background and what you are hoping to do — we will help you find the right starting point.
Send Us a Message