Course Catalogue
Three Courses, One Progression
Each course is a self-contained learning station that builds on the one before. You can begin at any point that suits your current level, and each stage takes you somewhere concrete.
Back to HomeOur Methodology
How We Teach AI Development
We take a gradual, project-based approach. Concepts are introduced in the context of practical exercises rather than isolated theory sessions. By the time you encounter a new idea, you already have the foundation to understand it — and you apply it immediately in your work.
Understand
Concepts are introduced clearly, with examples drawn from real-world data and AI work.
Practice
Exercises apply each concept directly. Mistakes are part of the process and are addressed in feedback.
Build
Skills combine into a project. You make real decisions about your data, your approach, and your code.
Review
A mentor reviews your completed project and gives you written feedback before you move on.
Beginning AI Development
A welcoming introduction for those starting their journey into building with AI, covering Python basics and the core ideas of machine learning. Suited to newcomers who would value a patient, step-by-step start. Over an eight-week structure, learners follow guided lessons, try small exercises, and receive supportive feedback. Includes recordings, weekly live sessions, and a helpful community space for questions along the way.
What You Will Cover
Python fundamentals: variables, data types, loops, functions
Core machine learning ideas: supervised learning, datasets, evaluation
Practical exercises with step-by-step guidance
Final project: a small classification model you build yourself
Weekly live session + full recordings + community space
Course Fee
RM 240
Suited to: Complete newcomers to programming and AI
Data & Model Building
A hands-on course for learners with early Python skills who want to prepare data and build their first models. Covers cleaning and exploring data, choosing suitable methods, and reading results carefully. Suited to those ready to take a practical next step. Over a ten-week structure, learners complete guided projects with mentor feedback and begin a small portfolio. Includes live workshops, lesson recordings, and thoughtful code reviews.
What You Will Cover
Data cleaning: handling missing values, types, and outliers
Exploratory analysis with pandas and basic visualisation
Selecting and training classification and regression models
Evaluating model performance and interpreting results
Portfolio project with written mentor feedback and code review
Course Fee
RM 286
Suited to: Learners with basic Python who want to work with data
From Model to Application
A deeper course for learners comfortable with modelling who want to turn their work into functioning AI applications. Covers integrating models into software, sensible testing, and careful deployment. Suited to those aiming toward project or professional work. Over a twelve-week structure, learners build a complete application with mentor guidance and present a capstone. Includes live sessions, individual feedback, and a supportive final review.
What You Will Cover
Integrating trained models into Python applications
Building simple APIs to serve model predictions
Testing your application: what to check and how
Deployment to a cloud environment with monitoring basics
Capstone project with individual mentor sessions and final review
Course Fee
RM 326
Suited to: Learners with modelling experience aiming for deployable work
Decision Guide
Which Course Is Right for You?
Use this table to find your starting point. If you are still unsure, contact us and describe your background — we will give you an honest recommendation.
| Feature | Station 01 RM 240 |
Station 02 RM 286 |
Station 03 RM 326 |
|---|---|---|---|
| Duration | 8 weeks | 10 weeks | 12 weeks |
| Python required | None needed | Basic level | Comfortable |
| Data preparation | |||
| Model building | Intro only | Full | Full |
| Application deployment | |||
| Capstone project | Small project | Portfolio project | Full capstone |
| Mentor feedback | + individual sessions |
Shared Across All Courses
Standards That Apply Across Every Station
Recorded Sessions
All lessons and live sessions are recorded. You can revisit them as many times as you need during the course period.
Learner Privacy
Your enrolment data and project work are stored securely. We do not share learner information with third parties for marketing purposes.
Community Space
All courses include access to a shared learning space where you can post questions, share progress, and support other learners.
Standard Equipment Only
Courses are designed to run on a standard laptop with a typical Malaysian internet connection. No special hardware or premium tools are required.
Completion Documentation
Upon finishing each course, you receive a completion document from Ilmu Nusantara. Your project work serves as the primary evidence of what you can do.
Responsive Support
Email enquiries are answered within one working day. The community space has instructor participation on weekdays during office hours.
Investment
Clear, All-In Pricing
One fee covers all lessons, recordings, live sessions, project feedback, and community access. Nothing is held back for a higher tier.
Station 01
Beginning AI Development
RM 240
per course · 8 weeks
- All recorded lessons
- Weekly live sessions
- Project feedback
- Community access
- Completion document
Station 02
Data & Model Building
RM 286
per course · 10 weeks
- All recorded lessons
- Weekly live workshops
- Portfolio project feedback
- Code reviews
- Community access
- Completion document
Station 03
From Model to Application
RM 326
per course · 12 weeks
- All recorded lessons
- Weekly live sessions
- Individual mentor sessions
- Capstone project review
- Community access
- Completion document
Instalment options are available. Contact us to discuss.
Still Deciding? We Can Help.
Write to us with a brief note about your background and what you are hoping to do. We will tell you which course fits and what to expect.
Get in Touch