Three tracks. One clear direction.
Each Synaptik programme is built around real project work and live mentorship. Whether you're just starting with Python or working toward model deployment, there's a track that fits where you are.
Back to HomeHow every programme is structured
The same core approach runs across all three tracks — live sessions, guided project work, and feedback from mentors who've worked in the field.
Weekly live sessions
Scheduled sessions with a mentor throughout the programme duration
Guided exercises
Structured exercises that build on each other week by week
Code review & feedback
Specific feedback on your submissions — written by a mentor, not automated
Portfolio output
A piece of work you finish and keep at every level of the programme
AI Foundations Programme
A welcoming programme covering Python basics, working with data, and the core ideas of machine learning through small, practical projects. Suited to those starting out with no prior programming background. Runs over eight weeks with live sessions, guided exercises, and mentor feedback. Includes a starter portfolio project and a completion record.
What's covered
- Python fundamentals — variables, functions, data structures, files
- Working with tabular data using pandas and basic data cleaning
- Introduction to machine learning concepts and common algorithms
- Building a small ML model and documenting it as a portfolio piece
- Completion record on finishing the programme
Process steps
- 1Weeks 1–2: Python setup, core syntax, and working with data
- 2Weeks 3–4: Data handling — loading, cleaning, exploring datasets
- 3Weeks 5–6: Machine learning concepts and first model exercises
- 4Weeks 7–8: Portfolio project build, mentor review, and completion
Machine Learning Engineering Track
An intermediate track focused on building and evaluating models using real datasets and common workflows. Designed for learners with basic Python who want practical depth. Runs over twelve weeks with structured projects, code reviews, and small-group mentoring. Includes applied portfolio pieces.
What's covered
- Supervised and unsupervised learning at a practical depth
- Feature engineering, model selection, and evaluation metrics
- Working with real datasets — cleaning, structuring, training
- Code review sessions on project submissions
- Applied portfolio pieces across multiple projects
Process steps
- 1Weeks 1–3: Data workflows — acquisition, EDA, preprocessing pipelines
- 2Weeks 4–6: Supervised learning — regression, classification, evaluation
- 3Weeks 7–9: Unsupervised learning and model comparison projects
- 4Weeks 10–12: Applied portfolio projects with code review and mentor sessions
Advanced AI Development & Deployment
A comprehensive programme covering deep learning, fine-tuning, and careful deployment, centred on real project work and clean engineering habits. Built for committed learners developing a strong portfolio. Runs over sixteen weeks with a capstone, one-to-one mentoring, and practical career-preparation support.
What's covered
- Deep learning architecture, training, and optimisation
- Fine-tuning pre-trained models for practical applications
- Model deployment, versioning, and monitoring
- Capstone project with one-to-one mentoring
- Career-preparation support and portfolio presentation
Process steps
- 1Weeks 1–4: Deep learning fundamentals and neural network architecture
- 2Weeks 5–8: Model fine-tuning, transfer learning, applied projects
- 3Weeks 9–12: Deployment environments, versioning, and monitoring practice
- 4Weeks 13–16: Capstone build, one-to-one mentoring, presentation & career prep
Which programme suits where you are?
Use this to get a feel for which track fits your current background and what you're working toward.
| Feature |
AI Foundations RM 620 |
ML Engineering RM 2,350 |
Advanced AI RM 4,520 |
|---|---|---|---|
| Duration | 8 weeks | 12 weeks | 16 weeks |
| Prior Python needed | None | Basic Python | Python + ML basics |
| Live sessions | |||
| Portfolio project | |||
| Code reviews | Basic | ||
| Deployment training | — | — | |
| One-to-one mentoring | — | — | |
| Capstone project | — | — |
Best for
AI Foundations
Complete beginners — no coding background required. Want to understand what ML is and build a first project.
Best for
ML Engineering
Have basic Python, want to work with real data, build models, and get portfolio-ready applied pieces.
Best for
Advanced AI
Solid ML foundations, want to tackle deep learning, deployment, and a substantial capstone with close mentoring.
What applies across all three tracks
Privacy & data handling
Participant information is used only for programme delivery. We don't share personal data with third parties for commercial purposes. See our privacy policy for full details.
Post-cohort curriculum review
After each cohort, we review materials against current tools and practices. Exercises and examples that have become outdated are updated before the next intake opens.
Mentor availability
Mentors are available during scheduled sessions and respond to written questions between sessions. Response time is within one business day during the programme period.
Cohort size limits
Each cohort is capped at a size the mentor team can support properly. We close intake when the limit is reached and hold spaces for the next cohort.
Clear programme scope
Before enrolment, you receive a written overview of what the programme covers, what the workload expectation is, and what prior knowledge is expected. No ambiguity about scope.
Responsive support
Participants can contact the Synaptik team at [email protected] or call +60 82 244 619 for administrative questions. Programme questions go directly to the mentor.
Programme fees
All prices in Malaysian Ringgit. Each fee covers the full programme — sessions, materials, feedback, and portfolio support included.
Beginner · 8 weeks
AI Foundations
RM 620
per programme
- Live weekly sessions
- Guided exercises
- Starter portfolio project
- Completion record
Intermediate · 12 weeks
ML Engineering
RM 2,350
per programme
- Live weekly sessions
- Real dataset projects
- Code review sessions
- Applied portfolio pieces
Advanced · 16 weeks
Advanced AI
RM 4,520
per programme
- Live weekly sessions
- Deep learning & deployment
- One-to-one mentoring
- Capstone project
Not sure which track to start with?
Send us a message with a bit about your background and what you're hoping to learn. We'll give you a straight answer about which programme makes sense to start with.
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