Three structured paths through AI development
Each programme covers a distinct stage of the learning arc — from first contact with Python to deploying systems that run in production. Designed to be taken in sequence or entered at the right level.
Back to HomeHow the programmes are designed
Cumulative structure
Each programme builds on the previous one. Concepts introduced early are applied in later material rather than replaced. The path is designed so nothing feels like a detour.
Clear milestones
Each programme is divided into identifiable stages with deliverables at each one. You always know where you are and what you are working toward at any point in the track.
Quality over completion speed
Mentor feedback is designed to help you understand a concept more deeply, not just to tick a box. Self-paced content does not expire, so there is no reason to rush past something important.
Getting Started with Data and Python
A welcoming introduction for people who are curious about building with AI but unsure where to begin. Over six weeks you learn to read and clean data, write small Python programmes, and understand the everyday vocabulary of the field. Lessons are short and self-paced, supported by a weekly group call where a mentor answers questions without rushing anyone. You leave with a tidy starter project and a clear sense of what to study next.
- Reading and cleaning tabular data with pandas
- Writing Python scripts for basic data tasks
- Understanding field vocabulary and tooling
- Weekly mentor Q&A call (recorded)
- Completed starter project on finishing
How it runs
Building Real Machine Learning Projects
A hands-on track for learners who want to move from tutorials to projects they are happy to show. Across eleven weeks you practise framing a problem, preparing data, training models, and checking results honestly. The cohort is kept small so your mentor can give thoughtful written feedback, and you complete two end-to-end projects rooted in local industries such as retail and logistics.
- Problem framing and data preparation
- Training and evaluating scikit-learn models
- Two end-to-end projects in retail and logistics
- Thoughtful written mentor feedback on each project
- Recordings, exercise files, and peer channel
How it runs
Production-Grade AI Systems
An advanced programme for developers ready to take models beyond a notebook. Over thirteen weeks you study deployment, monitoring, versioning, and the quiet discipline of keeping systems reliable over time. You work alongside a mentor in a small group, ship a complete project to a cloud environment, and review one another's work in a calm, constructive setting.
- Model deployment and serving in cloud environments
- Monitoring, versioning, and reliability practices
- Full project shipped to production
- Structured peer code review sessions
- Ongoing alumni access to materials post-completion
How it runs
Programme comparison
| Feature | Getting Started | Machine Learning Popular |
Production AI |
|---|---|---|---|
| Duration | 6 weeks | 11 weeks | 13 weeks |
| Price | RM 980 | RM 1,420 | RM 1,860 |
| Prior knowledge needed | None | Basic Python | ML experience |
| Projects completed | 1 starter project | 2 full projects | 1 production deploy |
| Mentor feedback | |||
| Cloud deployment | |||
| Alumni access |
Best for
Getting Started
Anyone new to programming and data — no background needed, just curiosity and a few hours per week.
Best for
Machine Learning Track
Learners who have some Python basics and want to build real ML projects they can put in front of people.
Best for
Production AI Track
Developers who understand ML and are ready to ship and maintain systems in real environments.
Shared across all three programmes
Data privacy
Learner data is handled in accordance with Malaysian data protection requirements. We do not share contact information with third parties for marketing purposes.
End-of-cohort review
Each completed cohort is followed by an internal review where instructors assess learner feedback and adjust the curriculum where needed before the next intake.
Responsive support
Enquiries made before enrolment receive a considered response, not an auto-reply. Questions during a programme are answered within the agreed mentor availability window.
Open-source tooling only
All programmes use freely available open-source tools. Learners are not required to purchase proprietary software or platform licences to participate.
Honest about outcomes
Programme pages describe what you will learn and what you will produce. We do not make employment or income claims. The outcome is knowledge and completed work.
Content stays accessible
Lesson materials and exercise files remain accessible to enrolled learners for the duration of their programme. Self-paced content does not expire mid-track.
Clear fees, no surprises
Getting Started
RM 980
One-time · 6 weeks
- All lesson materials
- Exercise files and datasets
- Weekly group mentor call
- Peer channel access
- Completed starter project
Machine Learning
RM 1,420
One-time · 11 weeks
- All lesson materials & recordings
- Exercise files and datasets
- Written mentor feedback on projects
- Two end-to-end projects
- Peer channel access
Production AI
RM 1,860
One-time · 13 weeks
- All lesson materials
- Cloud deployment project
- Mentor and peer code review
- Ongoing alumni access
- Post-completion alumni channel
Unsure which programme to start with?
Tell us a little about your current skills and what you are hoping to build, and we will point you in a sensible direction.
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