Three Programmes, One Connected Path
From your first lines of Python to deploying a working AI system — each programme at Neuronest is designed to build directly on the last.
Back to HomeHow Our Programmes Are Structured
Every Neuronest programme follows the same underlying principle: concepts are introduced, practised immediately, and then applied in a project that goes into your portfolio. There are no sections where you read for three weeks before touching any code.
Each programme has a weekly rhythm: a live session covering the week's material, guided exercises to consolidate it, and project work that accumulates into something meaningful. Between sessions, mentor access means you are never left to work through a blocker alone.
The three programmes are designed to connect. If you complete Foundations and move into the ML Engineering Track, you pick up where you left off — not at a generic "intro to Python" refresh. This continuity is something we have thought carefully about.
Weekly Live Sessions
Concept teaching with time for questions, every week
Guided Exercises
Practice problems tied directly to that week's material
Portfolio Projects
Applied work that accumulates into a usable portfolio
Mentor Feedback
Real reviews from practitioners, not automated graders
AI Foundations Programme
A welcoming, beginner-friendly programme covering Python essentials, data handling, and the core ideas behind machine learning through small, hands-on projects. Suited to learners starting out who want a solid, practical base. Runs over eight weeks with weekly live sessions, guided exercises, and mentor feedback. Includes a portfolio starter project and a course completion record.
What's Included
- Python fundamentals and data types
- Introduction to data handling and simple datasets
- Core machine learning concepts and intuition
- 8 weekly live sessions with mentor
- Portfolio starter project
- Course completion record
How It Works
- 1Receive your setup guide and course materials before Week 1 starts
- 2Attend weekly live sessions covering that week's Python and ML concepts
- 3Complete guided exercises and submit for mentor feedback
- 4Build your portfolio starter project across the final two weeks
- 5Receive your completion record and progress to the next programme if you wish
Machine Learning Engineering Track
An intermediate track focused on building and evaluating models, working with real datasets, and understanding common ML workflows and tooling. Designed for learners with basic Python who want to deepen their practical skills. Runs over twelve weeks with structured projects, code reviews, and small-group mentoring. Includes a portfolio of applied projects.
What's Included
- Supervised and unsupervised learning methods
- Working with real, messy datasets
- Model evaluation, tuning, and comparison
- 12 weekly live sessions
- Small-group mentoring and code reviews
- Portfolio of applied ML projects
Who This Is For
Learners who have completed the Foundations Programme, or who already have basic Python familiarity and want to move into applied model work with real data and proper engineering practices.
Enquire About This Programme
Advanced AI Development & Deployment
A comprehensive programme covering deep learning, model fine-tuning, and responsible deployment practices, with an emphasis on real project work and clean engineering. Designed for committed learners building toward a strong portfolio. Runs over sixteen weeks with a capstone project, one-to-one mentoring, and detailed career-preparation support including portfolio and interview practice.
What's Included
- Deep learning architectures and training
- Model fine-tuning and transfer learning
- Responsible deployment and engineering practices
- 16 weekly live sessions
- One-to-one mentoring throughout
- Capstone project with dedicated review
- Portfolio preparation and interview practice
Which Programme Is Right for You?
Use this comparison to get a sense of which programme best matches where you are now. If you are unsure, just ask us — we are happy to talk through it.
| Feature | AI Foundations RM 560 |
ML Engineering RM 2,200 |
Advanced AI RM 4,400 |
|---|---|---|---|
| Duration | 8 weeks | 12 weeks | 16 weeks |
| Prior Python Required | Not needed | Basic level | Intermediate |
| Weekly Live Sessions | |||
| Mentor Feedback | |||
| Code Reviews | — | ||
| One-to-One Mentoring | — | — | |
| Capstone Project | — | — | |
| Portfolio & Interview Prep | — | — | |
| Completion Record |
Shared Standards
Industry-Current Tools
We update our tooling guidance each quarter to reflect what practitioners are using now
PDPA-Compliant Handling
All learner data managed in line with Malaysia's Personal Data Protection Act 2010
Quarterly Curriculum Review
Content is reviewed and updated regularly — you learn what is relevant today
Session Recordings Available
Miss a live session? Recordings are available so you can catch up in your own time
Transparent Fees
No hidden costs. No add-on modules. What you see here is what you pay.
AI Foundations
8 weeks · Beginner
- Weekly live sessions
- Guided exercises
- Mentor feedback
- Portfolio starter project
- Completion record
ML Engineering
12 weeks · Intermediate
- Weekly live sessions
- Code reviews
- Small-group mentoring
- Applied project portfolio
- Completion record
Advanced AI
16 weeks · Advanced
- Weekly live sessions
- One-to-one mentoring
- Capstone project review
- Portfolio preparation
- Interview practice
Not Sure Which Programme to Start With?
We are happy to talk through your background and what you are hoping to learn. No pressure, just a conversation that helps you make the right call.
Get in Touch