Our Courses
Three stages. One clear path through AI development.
Each course has a distinct starting point and a clear destination. You can enter at the stage that matches where you are now, and move forward from there.
Back to HomeOur Method
How we structure the learning experience
Every Akal Suria course follows the same general pattern: recorded lessons introduce each concept, small exercises give you something to apply it to, and weekly live sessions let you ask questions and hear how others are working through the same material.
Mentor feedback on assignments is written to point you forward — what worked, what to revisit, and what to look at next. The capstone and portfolio projects are designed around your own choices, not pre-set templates.
Recorded lessons
Study at the time that suits you. Revisit any lesson as many times as needed.
Weekly live sessions
Attend to ask questions and hear discussion. All sessions are recorded.
Guided exercises
Each concept is tied to something you write and run. Progress is visible.
Mentor feedback
Written feedback on your work within one working day of submission.
Your First Steps in AI
A gentle entry point for those curious about building with AI, introducing Python and the foundational ideas of machine learning. Suited to those who would value a calm, well-supported start. Over an eight-week structure, learners work through guided lessons, small exercises, and encouraging feedback.
What you will cover
- Python fundamentals and working environment setup
- Data types, structures, and basic operations
- Introduction to machine learning concepts and vocabulary
- Running your first ML model with real data
Practical Machine Learning
A hands-on course for learners with basic Python who want to build and understand their own models. Covers preparing data, applying common methods, and interpreting results with care. Suited to those ready to move toward practical work. Over a ten-week structure, learners complete guided assignments with mentor feedback and begin a small portfolio.
What you will cover
- Data preparation, cleaning, and feature engineering
- Supervised and unsupervised ML methods
- Model evaluation and result interpretation
- Portfolio project with written mentor review
Developing Real AI Applications
A deeper course for learners at ease with machine learning who want to build and release complete AI applications. Covers working with modern models, connecting them into real software, and deploying thoughtfully. Suited to those preparing for project or professional work. Over a twelve-week structure, learners develop a full application with mentor guidance and present a capstone.
What you will cover
- Working with modern AI frameworks and APIs
- Integrating AI models into full software applications
- Deployment to cloud environments, thoughtfully
- Full capstone: build and present a complete AI application
Choose Your Stage
Which course fits where you are now?
Use this to find the right starting point. If you are unsure, reach out and we will help you decide.
| Feature | Stage 01 RM 238 |
Stage 02 RM 284 |
Stage 03 RM 327 |
|---|---|---|---|
| Duration | 8 weeks | 10 weeks | 12 weeks |
| Prior knowledge needed | None | Basic Python | ML experience |
| Recorded lessons | |||
| Weekly live sessions | |||
| Mentor feedback on assignments | |||
| Live code reviews | — | ||
| Portfolio project | — | ||
| Full capstone application | — | — | |
| Best for… | Complete beginners | Those with Python basics | Building real AI products |
Our Standards
What holds across all three stages
Learner data handled carefully
We collect only what is needed to run the course. No personal data is shared with third parties for unrelated purposes.
Reliable response times
Mentor responses to questions within one working day. Assignment feedback within two working days of submission.
Material reviewed between cohorts
Libraries, frameworks, and techniques change. We update course materials before each new cohort to keep them current.
All sessions recorded
Missing a live session or wanting to revisit something is not a problem. Recordings are available for the full duration of your course.
Reviewed content accuracy
All lessons are checked for technical accuracy before each cohort. We do not leave outdated information in place once we know about it.
Transparent, all-inclusive pricing
The fee listed is what you pay. No upsells for mentor access, recordings, or additional sessions — these are part of every course.
Fees
Course fees in Malaysian Ringgit
All fees include materials, mentor access, live sessions, recordings, and project review. No extras.
Your First Steps in AI
RM 238
per enrolment · 8 weeks
- Recorded lessons
- Weekly live sessions
- Mentor feedback
- Community space
Practical Machine Learning
RM 284
per enrolment · 10 weeks
- Recorded lessons
- Weekly live sessions
- Live code reviews
- Portfolio project
- Mentor feedback
Developing Real AI Applications
RM 327
per enrolment · 12 weeks
- Recorded lessons
- Live sessions + code reviews
- Individual mentor guidance
- Full capstone application
- Final review session
Next Step
Not sure which stage to start from?
Tell us a little about your background and what you are hoping to be able to do. We will suggest the most sensible starting point for your situation.
Get in Touch