All Programmes

Three tracks, one direction — building with AI.

From a first Python script to deploying a neural network, Mentari Labs has a track that starts where you are. All programmes are delivered online with mentor support and a pace built for working adults.

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How Every Track Works

A consistent approach across all three programmes

Recorded lessons

Watch at any hour that suits you. Lessons are concise and focused on one concept at a time.

Weekly exercises

Apply each concept to a hands-on task before the next lesson drops. The exercises are where the learning sticks.

Live mentor clinic

A 90-minute session each week where instructors answer your questions and review common points of confusion.

Portfolio project

The final weeks of each track are devoted to a project with instructor guidance and feedback, producing something you own.

Track 1 · 6 Weeks

AI & Python Starter

A relaxed entry point for those new to building with data. Over six weeks you cover Python essentials, basic data handling, and a first simple model, supported by a weekly mentor clinic. The tide-paced syllabus keeps each step manageable. You finish with a small portfolio piece and a clear direction for what to learn next.

This track assumes no prior programming experience. If you know what a variable is in general terms, you are ready. If you are completely new to computing, a short pre-reading list is provided on enrolment.

What you will cover

01Python syntax, variables, loops, and functions
02Data structures and file handling
03Working with tabular data using pandas
04Exploratory data analysis and visualisation
05Training and evaluating a first model with scikit-learn
06Portfolio project with mentor review

No prior programming knowledge required
Weekly mentor clinic included
Completion certificate on portfolio submission
Ongoing access to recordings

RM 960 Enquire About This Track

Best suited for

Analysts, administrators, and professionals with no coding background who want to understand what AI can do and begin building a foundation for further study.

Best suited for

Developers, engineers, and data-adjacent professionals with some Python familiarity who want to build ML workflows and produce portfolio-ready projects with personal feedback.

Track 2 · 10 Weeks

Applied Machine Learning

A practical track for learners ready to ride into real projects. Across ten weeks you build a steady workflow for data, training, and evaluation, completing two grounded projects with personal feedback. Small cohorts keep mentoring close. Recordings and a supportive peer channel are included.

This track moves at a faster pace than the Starter. A working knowledge of Python is required — you should be able to write a function, import a library, and work with a DataFrame before the first week begins.

What you will cover

01Data cleaning, feature engineering, and pipelines
02Supervised learning — regression and classification
03Model evaluation, cross-validation, and bias-variance
04Ensemble methods and hyperparameter tuning
05Two grounded projects with personal instructor feedback

Two portfolio projects reviewed by instructors
Active peer support channel throughout
Weekly mentor clinic included
Recordings accessible post-cohort

RM 1,390 Enquire About This Track

Track 3 · 14 Weeks

Deep Learning Voyage

An advanced track for developers ready to navigate neural networks. Over fourteen weeks you study modern architectures, training strategies, and responsible deployment, building a capstone with guidance. The close cohort keeps feedback thorough. Lasting access and a calm alumni harbour support you afterwards.

Prerequisites: comfortable with Python, some prior ML exposure (either via Applied ML or equivalent experience). Familiarity with calculus and linear algebra is helpful but not strictly required — we introduce the necessary mathematical intuitions in the early weeks.

What you will cover

01Neural network fundamentals and backpropagation
02Convolutional networks for vision tasks
03Sequence models — RNNs, LSTMs, and Transformers
04Training strategies — regularisation, optimisers, scheduling
05Responsible deployment and model monitoring
06Capstone project with close instructor guidance

Capstone project with thorough instructor review
Lifetime access to materials
Alumni community access after completion
Responsible AI covered throughout

RM 1,860 Enquire About This Track

Best suited for

Software engineers and ML practitioners looking to move into deep learning work — vision, NLP, or generative systems — with the depth to make production decisions, not just run notebooks.

Choose Your Track

Which programme fits where you are

Feature	AI & Python Starter	Applied ML Popular	Deep Learning
Duration	6 weeks	10 weeks	14 weeks
Fee (RM)	960	1,390	1,860
Prior coding needed	None	Basic Python	Python + ML basics
Weekly mentor clinic
Projects with instructor feedback	1	2	1 capstone (deep review)
Peer support channel
Responsible AI content	Intro	Moderate	Full coverage
Alumni community

Shared Standards

What every track delivers

Data privacy

Learner data handled under Malaysia's PDPA 2010. No sharing with third-party marketers. Enrolment and payment processed securely.

Curriculum quality

Every cohort closes with a feedback review. Material that is outdated or unclear is revised before the next intake opens.

Support responsiveness

Enquiries and support messages receive a reply within one business day throughout the enrolment and learning period.

Fees

Clear, one-time course fees

All fees in Malaysian Ringgit. No recurring charges, no hidden add-ons.

Starter

RM 960

6-week course · single payment

All recorded lessons
Weekly mentor clinic
1 portfolio project + review
Completion certificate
Post-cohort recording access

Enquire

Not sure which track to start with?

Send us a message and describe where you are today. We will suggest the track that fits, with no pressure to enrol on the spot.

Talk to the Team