Our Programmes
Three Tracks, Designed to Follow Each Other
From first Python line to deployed neural network — each programme is a complete exhibit, and the three together form a full gallery of AI development.
← Back to HomeOur Methodology
How We Teach
Every Anjung Code programme follows the same structural principle: one idea at a time, with space to absorb it before moving on. We sequence topics so that each one prepares the ground for the next. Live clinics and office hours are not optional extras — they are part of the programme design. Projects are not assessments you pass or fail — they are the thing you build, keep, and explain.
Structured Materials
Notes, exercises, and worked examples are available at the start of each week so you can read ahead or revisit after a session.
Live and Recorded Sessions
Sessions are scheduled for Malaysian evenings. Recordings are available the next day for learners who could not attend live.
Project Feedback Loop
Every project submission receives written feedback from an instructor within 5 working days. You revise once before the final mark.
Track 01
AI Foundations
6 weeks · RM 990
A welcoming start for newcomers. Over six weeks you learn Python basics, data handling, and core model ideas, with a weekly clinic for questions. The gallery pace keeps each idea clear. You finish with a small project and a plan for next steps.
What you will cover
How the programme runs
Weeks 1–2: Python environment setup, data types, functions
Weeks 3–4: Data loading, cleaning, and basic analysis
Weeks 5–6: Introduction to models, small project, and review session
Track 02
Machine Learning Track
10 weeks · RM 1,410
A practical programme for learners ready to build. Across ten weeks you cover data work, training, and evaluation, completing two grounded projects with personal feedback. Small cohorts keep support close. Recordings and a peer channel are included.
What you will cover
How the programme runs
Weeks 1–3: Data preparation and feature engineering
Weeks 4–7: Model training, tuning, and evaluation
Weeks 8–9: First project build and feedback round
Week 10: Second project and end-of-cohort review
Track 03
Deep Learning Gallery
13 weeks · RM 1,840
An advanced track for developers ready to study neural networks. Over thirteen weeks you cover architectures, training, and deployment, building a capstone with guidance. The close cohort keeps feedback thorough. Lasting access and a quiet alumni space support you afterwards.
What you will cover
How the programme runs
Weeks 1–4: Neural network theory and first architectures
Weeks 5–9: Specialised architectures and training techniques
Weeks 10–12: Deployment and production considerations
Week 13: Capstone presentations and cohort close
Decision Guide
Which Track Is Right for You?
Use this overview to understand the differences between the three programmes before reaching out.
| Feature | AI Foundations | ML Track | Deep Learning Gallery |
|---|---|---|---|
| Duration | 6 weeks | 10 weeks | 13 weeks |
| Fee (RM) | 990 | 1,410 | 1,840 |
| Prior experience needed | None | AI Foundations or equivalent | ML Track or equivalent |
| Projects included | 1 capstone | 2 full projects | 1 major capstone |
| Written project feedback | |||
| Peer channel | |||
| Session recordings | Clinic only | ||
| Lasting materials access | |||
| Alumni space |
Not sure where to start? Write to us and we will help you choose.
Standards
Shared Across All Programmes
Data Handling and Privacy
Learner data is held in accordance with Malaysia's PDPA 2010. We store only what is required for programme administration.
Curriculum Review Cycle
Materials are reviewed and updated before each cohort begins. Outdated content is replaced, not left in place.
Feedback Turnaround
Project feedback is delivered within 5 working days of submission. If a delay occurs, learners are notified in advance.
Technical Environment
Programmes use cloud-based notebook environments. No expensive local hardware is required to participate.
Certificate of Completion
Learners who complete all programme requirements receive a certificate of completion from Anjung Code.
Instructor Availability
All programmes include scheduled instructor contact time. Email enquiries outside sessions are answered within 2 working days.
Pricing
Programme Fees
Track 01
AI Foundations
RM 990
per learner · one cohort
- 6 weeks
- Weekly live clinic
- 1 capstone project with feedback
- Certificate of completion
Track 02 · Popular
Machine Learning
RM 1,410
per learner · one cohort
- 10 weeks
- Office hours and peer channel
- 2 projects with written feedback
- Session recordings
- Certificate of completion
Track 03
Deep Learning Gallery
RM 1,840
per learner · one cohort
- 13 weeks
- Capstone with personal guidance
- Lasting materials access
- Alumni space
- Certificate of completion
Next Steps
Reach Out and We Will Help You Choose
Not sure which track to start with? Write to us with a brief description of where you are and what you are working towards. We will suggest a starting point.
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