Three Courses. One Clear Path Through AI Development.
From writing your first Python function to building applications with language models, Pintar Studio's courses form a connected sequence. Each course works on its own — but each one also prepares you for the next.
Back to HomeThe Pintar Studio Methodology
Set the Context
Each module opens with a clear "Hands-On This Week" panel — a plain-language statement of what you will build that week and why it matters.
Do the Work
Reading is kept short. Most of each module is spent writing and running code, encountering problems, and solving them — with reference materials available.
Submit and Receive Feedback
Your submissions are reviewed by a tutor. Feedback explains what you did well, what needs improvement, and why — then you move to the next module.
Coding Basics for AI
A friendly start in Python and the tools used across AI work, taught through small, practical tasks. Suited to those newer to coding who learn best by doing. Includes weekly hands-on exercises and tutor support over six weeks, at a comfortable pace.
- Python fundamentals: variables, loops, functions, file handling
- Introduction to common AI libraries (numpy, pandas basics)
- Weekly practical tasks with tutor feedback
- Setup guide included — no prior software knowledge needed
How the Six Weeks Work
Environment setup and first Python scripts
Data types, control flow, and functions
Reading and writing data files with Python
Introduction to numpy arrays and pandas DataFrames
Working with a real dataset end-to-end
Final practical exercise and tutor review
Applied Machine Learning
A practical course building and evaluating models on real datasets, with honest discussion of what works and what does not. Best for those with basic programming. Includes graded projects and code feedback across ten weeks.
- Supervised learning with scikit-learn
- Feature engineering and model evaluation
- Two graded projects with individual code feedback
- Honest comparison of model approaches on real data
Ten-Week Structure
Data exploration and cleaning with pandas
Linear and tree-based models — how they work and when to use each
Model evaluation: cross-validation, metrics, and what they mean
First graded project with tutor feedback
Pipeline building and final project submission
Generative AI Workshop
A hands-on track building small applications with modern language models, taught responsibly and step by step. Intended for learners comfortable with Python. Includes a mentored project with careful, constructive review over twelve weeks.
- Working with language model APIs in Python
- Prompt design, output handling, and testing
- Responsible use: understanding where models fail
- Twelve-week mentored project with constructive review
Twelve-Week Structure
Language model concepts, API setup, first requests
Prompt design patterns and output parsing
Building a small application: design, implementation, testing
Responsible AI: evaluating reliability, handling errors
Final project completion with mentor feedback and review
Which Course Fits Your Starting Point?
Use this table to identify the course that matches your current level. Not sure? Send us a message — we can help you decide.
| Factor | Coding Basics | Applied ML | Generative AI |
|---|---|---|---|
| Prior coding needed | None | Basic Python | Comfortable Python |
| Duration | 6 weeks | 10 weeks | 12 weeks |
| Price | RM 145 | RM 600 | RM 415 |
| Tutor feedback | |||
| Graded projects | Exercises only | ||
| Mentored final project | |||
| Best for | Complete beginners to coding | Python users new to ML | Python users ready to build AI apps |
Standards Shared Across Every Course
Data Protection
Learner information is handled under Malaysia's PDPA. No personal data is shared with third parties for marketing purposes.
Curriculum Maintenance
Materials are reviewed before each cohort. When library versions or API documentation changes, course references are updated accordingly.
Performance Expectations
Each course states clearly what you should be able to do by the end. Progress is measurable through the exercises and project submissions.
Support Response
Tutor responses to questions within two working days. Learners are given a clear point of contact throughout the course.
Accessible Setup
All courses begin with an environment setup guide. Software used is free and open-source. Any standard laptop running Windows, macOS, or Linux is sufficient.
Responsible AI Teaching
All courses discuss AI limitations alongside capabilities. Learners leave understanding both what the tools can do and where they should not be trusted without checking.
Transparent Pricing in Malaysian Ringgit
All prices are per-course. No subscription or recurring fees. Payment options are shared after you submit an enquiry.
Coding Basics for AI
6 weeks · Beginner
RM 145
per course enrolment
- Weekly exercises with feedback
- Tutor email support
- Environment setup guide
- Completion document
Applied Machine Learning
10 weeks · Intermediate
RM 600
per course enrolment
- Graded projects with code review
- Individual tutor feedback
- Real dataset exercises
- Two graded projects
- Completion document
Generative AI Workshop
12 weeks · Int.–Advanced
RM 415
per course enrolment
- Mentored final project
- Constructive tutor reviews
- Language model API work
- Responsible AI module
- Completion document
We Will Help You Choose the Right Course
Send us a message with a brief description of your current experience and what you are hoping to work towards. We will suggest the course that makes the most sense.
Send an Enquiry