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Permata Code course programmes
Our Programmes

Three Tracks. One Clear Direction.

From your first Python script to deploying a neural network — each track is a self-contained programme built to prepare you for the next step in AI development work.

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Methodology

How Every Track Is Built

01

Lattice Structure

Concepts are mapped into a grid before writing begins. Each cell holds one idea. Each row connects related ideas. You see the structure as you move through it.

02

Applied Projects

Every track has a project component. You work on something real, receive written feedback from an instructor, and finish with something you can discuss and demonstrate.

03

Iterative Revision

After each cohort, structured feedback shapes the next revision. Material that confused learners is rewritten. What clarified things is kept and built on.

AI Foundations course
Track 01

AI Foundations

6 weeks RM 990 Beginner

A welcoming course for newcomers. Over six weeks you learn Python basics, data handling, and core model ideas, with a weekly clinic for questions. The lattice keeps each concept in clear view. You finish with a small project and a plan for next steps.

What This Track Covers

  • Python fundamentals — syntax, data types, control flow, functions
  • Data handling with Pandas — loading, cleaning, exploring datasets
  • Core machine learning ideas — what a model is, how it learns, what it outputs
  • Weekly live clinic — bring questions from the previous week's material
  • Final project — a small end-to-end data and model exercise

Session Outline

Wk 1–2Python environment, syntax, data structures, basic scripting
Wk 3–4Data handling, Pandas, loading and exploring real datasets
Wk 5Model concepts — training, evaluation, overfitting explained
Wk 6Final project — build, review, instructor feedback
Enquire About AI Foundations
Track 02

Machine Learning Practice

10 weeks RM 1,400 Intermediate

A practical track 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 This Track Covers

  • Data preparation pipelines — cleaning, encoding, feature engineering
  • Model training — regression, classification, hyperparameter tuning
  • Evaluation — metrics, validation strategy, bias-variance thinking
  • Two projects with written instructor feedback on each
  • Session recordings and peer channel included

Session Outline

Wk 1–3Data pipelines, feature engineering, real dataset work
Wk 4–5Project 1 — end-to-end classification task with feedback
Wk 6–8Model training deep-dive — tuning, evaluation, comparison
Wk 9–10Project 2 — regression task, instructor review, cohort discussion
Enquire About ML Practice
Machine Learning Practice course
Deep Learning Framework course
Track 03

Deep Learning Framework

13 weeks RM 1,850 Advanced

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 This Track Covers

  • Neural network foundations — layers, activation, backpropagation
  • Architectures — CNN, RNN, Transformer basics in PyTorch
  • Training strategy — optimisers, regularisation, scheduling
  • Deployment — packaging and serving a model in a simple API
  • Capstone project with instructor guidance throughout
  • Lasting course access and alumni space after completion

Session Outline

Wk 1–4Neural networks from scratch — architecture and training in PyTorch
Wk 5–8Specialised architectures — CNN for vision, sequence models
Wk 9–11Deployment basics — packaging, APIs, cloud hosting overview
Wk 12–13Capstone — build, present, receive instructor feedback
Enquire About Deep Learning Framework
Decision Guide

Choosing the Right Track

Use this table to find the track that fits your current background and what you want to do next.

AI Foundations ML Practice Deep Learning
Prior coding needed Not neededBasic Python helpful Required
Duration6 weeks10 weeks13 weeks
Fee (RM)9901,4001,850
Projects1 small project2 full projects1 capstone
Session recordings
Alumni space
Best forCareer changers, non-technical backgroundsPython users wanting ML skillsDevelopers studying neural networks
Shared Standards

What Applies Across All Tracks

Data Privacy

Learner information used only for course delivery. Not passed to third parties.

Current Materials

Reviewed before each cohort. Library versions and practices updated when the field moves.

Written Feedback

Instructors review projects and write specific comments. Not automated scores.

Completion Records

Issued after the final project is accepted. Tied to real completion, not just attendance.

Fees

Programme Fees

All fees are in Malaysian Ringgit. Programmes may be eligible for HRDC claims by Malaysian employers.

Track 01

AI Foundations

RM990
  • 6 weeks online
  • Weekly live clinics
  • 1 project with feedback
  • Completion record
Enquire
Track 02

ML Practice

RM1,400
  • 10 weeks online
  • 2 projects with feedback
  • Session recordings
  • Peer channel included
Enquire
Track 03

Deep Learning

RM1,850
  • 13 weeks online
  • Capstone with guidance
  • Lasting course access
  • Alumni space included
Enquire

Not Sure Which Track Fits?

Send us a message and we will help you figure out where to start based on your background and what you want to achieve.

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