Our Programmes
Three Paths into
AI Development
Each programme is built around a different starting point and a different set of skills to develop. Choose the one that honestly matches where you are now.
Back to HomeOur Approach
How Every Programme is Structured
Every Codemuse programme follows the same basic model: a defined weekly plan, practical exercises tied to each topic, project work that builds toward a portfolio piece, and mentor feedback on the code you submit. The content and depth change by programme level — the method stays consistent.
Sessions are live with recordings available afterward. Mentors are assigned to small groups and engage with your code directly — not just with auto-graded quizzes or community forum replies.
Weekly structure
Clear topic each week
Live coding sessions
Recorded for replay
Mentor code reviews
On your submitted work
Portfolio projects
Every programme tier
Onboarding and environment setup
First week covers tool setup, the programme overview, and a short warm-up exercise so you're writing code from day one.
Core topic delivery with exercises
Each subsequent week introduces a concept through a live session, followed by exercises you complete and submit for review.
Mentor feedback cycles
Submitted work is reviewed and returned with specific feedback. You revise and move forward with a clearer understanding of the concept.
Project completion and record
Final weeks are dedicated to completing your portfolio project. On completion you receive your programme record from Codemuse.
Programme 1
AI Foundations Programme
A thoughtful introduction to Python, data handling, and the core concepts that underpin machine learning. Designed for learners who are new to this area and want to build a solid, practical base before going further. The programme runs across eight weeks with live sessions, guided exercises, and mentor feedback throughout.
By the end you'll have written working Python code, handled real datasets, and built a starter project that demonstrates what you've learned — ready to add to a portfolio or use as a foundation for the next level.
What's included:
- Python basics: syntax, data types, control flow, functions
- Data handling with pandas and NumPy
- Introduction to supervised learning concepts
- Live sessions (recorded) and weekly exercises
- Mentor feedback on your submitted code
- Starter portfolio project and completion record
Programme 2
Machine Learning Engineering Track
An intermediate track for learners who are comfortable with basic Python and want to develop proper ML engineering skills. The focus is on building, testing, and improving models with real datasets and the kind of tooling that appears in professional projects. Twelve weeks with structured projects, code reviews, and small-group mentoring.
You'll work with standard ML pipelines, develop skills in model evaluation and improvement, and finish with two or three applied portfolio pieces that reflect genuine project work — not just tutorial reproductions.
What's included:
- Supervised and unsupervised learning with scikit-learn
- Feature engineering and model evaluation
- Hyperparameter tuning and improvement cycles
- Structured projects with code reviews
- Small-group mentoring sessions
- Applied portfolio pieces and completion record
Programme 3
Advanced AI Development & Deployment
A thorough programme covering deep learning, model fine-tuning, and the deployment side of AI work — with a strong focus on clean engineering practice and building something substantial. Designed for learners who are serious about developing depth and want a portfolio that demonstrates it. Sixteen weeks with a capstone project, one-to-one mentoring, and practical career-preparation support.
This programme is not a shortcut. It covers genuinely complex material at a considered pace, with significant time spent on code quality and deployment considerations that many learning resources skip entirely.
What's included:
- Deep learning with TensorFlow / Keras
- Model fine-tuning and transfer learning
- Deployment pipelines and serving models
- Capstone project with thorough mentor review
- One-to-one mentoring sessions
- Practical career-preparation support and completion record
Compare
Which Programme Suits You?
A side-by-side look at what each level includes and who it's best suited to.
| Feature | AI Foundations RM 700 |
ML Engineering RM 2,600 |
Advanced AI RM 4,580 |
|---|---|---|---|
| Duration | 8 weeks | 12 weeks | 16 weeks |
| Entry requirement | No experience needed | Basic Python comfort | ML knowledge needed |
| Live sessions | |||
| Mentor code review | |||
| 1-to-1 mentoring | |||
| Capstone project | |||
| Deployment coverage | |||
| Career support | |||
| Best for: Complete beginners | Best for: Python users ready for ML | Best for: Serious deep-dive learners |
Not sure which level suits you? Send us a message and we'll help you work it out.
Our Standards
Shared Across All Programmes
These principles apply regardless of which programme you join.
Learner Privacy
Personal data shared during enrolment is used only for programme administration. It is not sold, shared with advertisers, or passed to third parties without consent.
Updated Content
Curriculum is reviewed before each cohort. Exercises and examples are updated to reflect current tool versions and relevant practices in the field.
Responsive Mentors
Submitted work is reviewed and returned within 48 hours during active programme weeks. Questions during office hours are answered within one working day.
Honest Descriptions
We describe what each programme covers accurately and honestly. We do not overstate learning outcomes or make claims about what you will achieve afterward.
Small Cohorts
Cohort sizes are kept deliberately small to ensure each learner receives actual attention from mentors — not a standardised automated response.
Code Quality Focus
Feedback addresses not just whether code runs, but whether it's readable, logically structured, and following sensible conventions — skills that matter in real projects.
Pricing
Clear, Published Fees
All fees are in Malaysian Ringgit. No additional charges are added after enrolment. Payment arrangements can be discussed on request.
Programme 1
AI Foundations
RM 700
8-week programme
- Live sessions included
- Mentor feedback
- Portfolio project
- Completion record
Programme 2 · Popular
ML Engineering
RM 2,600
12-week programme
- Live sessions included
- Code reviews + feedback
- Small-group mentoring
- Applied portfolio pieces
Programme 3
Advanced AI
RM 4,580
16-week programme
- Live sessions included
- 1-to-1 mentoring
- Capstone project
- Career prep support
Ready to Enquire?
Start with a Conversation
Tell us where you are now and which programme is catching your attention. We'll give you an honest answer about whether it's a good fit.
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