Teaching AI the Way It Should Be Learned
Loopmind was started by practitioners who found that most online courses left learners with notes but nothing to show. We set out to change that.
← Back to HomeA School Built Around the Loop
Loopmind started in George Town, Penang in 2022 when a group of developers and data practitioners noticed something frustrating: learners were finishing online courses and still not knowing how to build anything real. They understood the vocabulary. They'd watched the videos. But the moment a dataset didn't match the tutorial, they were stuck.
The founders of Loopmind came from engineering and applied research backgrounds, and they'd all gone through that same experience themselves. What finally helped wasn't another video — it was being given a messy problem and a mentor who would talk it through honestly.
That's the thinking behind every programme at Loopmind. Each one is structured as a loop: learn a concept, apply it to something real, get feedback, refine. That cycle — not a linear video playlist — is how practical skill actually develops.
We keep cohorts small on purpose. Mentors read your actual code, not just your quiz score. And everything you build stays with you — it belongs in your portfolio, not in a sandboxed environment that disappears when the course ends.
Our Mission
To make hands-on AI education available to people in Malaysia who want to build real things — not just collect completion records.
Our Approach
Every session, exercise, and project is designed to produce something: working code, a trained model, a documented result. Theory follows practice, not the other way around.
Our Promise
We won't oversell outcomes. We'll tell you what a programme covers honestly, and we'll support you through it with specific, written feedback — not automated scores.
Who Runs Loopmind
Nizam Azri
Lead Instructor & Co-founder
Former machine learning engineer who spent six years in applied NLP before founding Loopmind. Leads the Advanced Programme and designs the curriculum architecture across all three tracks.
Siew Wei
Programme Coordinator & Mentor
Data analyst turned educator, with a background in Python and scientific computing. Manages the Foundations Programme and coordinates mentoring across cohorts.
Rajan Kumar
Technical Mentor — ML Engineering
Specialises in model evaluation and production-ready ML systems. Leads the Machine Learning Engineering Track and conducts code reviews for intermediate cohorts.
Standards We Hold Ourselves To
Real Code, Not Notebooks-Only
Projects are structured so learners produce code that runs outside a Jupyter notebook — versioned, documented, and deployable where relevant.
Written Mentor Feedback
Every submitted project receives written feedback from a named mentor — not a rubric score, not a tick-box review. Specific observations on what works and what to improve.
Privacy-Respecting Practices
Learner data is handled with care. We collect only what's needed, store it securely, and don't share it with third parties for marketing purposes.
Curriculum Updated Regularly
The AI tooling landscape changes quickly. We review and update programme content before each cohort to keep examples and tooling current.
Cohort Size Limits
Each programme cohort is capped to ensure mentors can give meaningful attention to each learner — not just manage a large group from a distance.
Honest About Outcomes
We don't make claims about jobs, salaries, or career outcomes. We describe honestly what each programme covers and what you'll be able to build at the end.
Practical, Honest, and Learner-First
Loopmind is not a platform that measures success by the number of enrolments or the length of a certificate PDF. Success looks like a learner in the Machine Learning Engineering Track finishing the programme with three portfolio projects they can actually talk about in depth — because they built them, debugged them, and refined them through a mentoring relationship.
We work in English, draw on datasets and problems relevant to Southeast Asia where possible, and keep the focus on engineering practice rather than pure theory. AI development in a working environment requires writing readable code, evaluating models critically, and making deployment decisions — and that's what each programme is built to develop.
Based in George Town, Penang, we serve learners across Malaysia and welcome enquiries from anywhere in the region. Programmes are delivered online with live sessions, so geography is not a barrier — only your time and commitment matter.
Start a Conversation With Us
Not sure which programme suits you? Send us a message and we'll have an honest conversation about where you are and what makes sense next.
Get in Touch