Engineering AI Literacy,
One Experiment at a Time
Structured programmes for engineers in Malaysia who want to read research papers, build RL systems, and conduct their own recorded experiments.
Three Programmes. Stated Requirements. No Surprises.
Each programme lists its prerequisites, weekly hours, and what it does not cover alongside what it does. Hours are medians from completed cohorts, not projections.
Reading Research Papers as an Engineer
Extracting an implementation from a paper: reading the method section against the appendix, identifying what the authors omitted, reconstructing hyperparameters, and reproducing a figure. Failed reproductions graded as generously as successful ones, provided the failure is documented.
- 6 reproduction exercises with public code
- 1 reproduction on paper without public code
- Written peer review of two classmates
- Does not cover ML fundamentals
PRG-002 / 17 weeks / 12–15 hr/wk
Reinforcement Learning and Sequential Decision Making
Policy gradients, value methods, exploration, offline learning from logged data, and the evaluation problems that make this field harder than it looks. Requires strong Python and probability, plus a completed deep learning course.
- Cluster access and 15 assignments
- 3 algorithms from original papers
- Code review on every submission
- Excludes market speculation applications
PRG-003 / 24 weeks / 18–20 hr/wk
Research Engineering Fellowship
Propose a question, design an experiment, run it honestly, and publish the result whether or not it flatters. For practitioners with production experience or postgraduate students bridging into industry.
- Supervising research engineer
- Substantial cluster allocation
- Ethics and data-provenance review
- Does not represent acceptance or citation
What Sets the Ledger Apart
Documented Failure Is Not Penalised
A reproduction that fails with clear documentation earns the same marks as one that succeeds. The record matters more than the outcome.
Published Cohort Statistics
Completion rates, median hours and assignment resubmission counts are shared openly—whatever they show, not only when they flatter.
Code Review on Every Submission
Assignments receive individual written feedback, not just a score. Review comments remain accessible to the learner after the programme ends.
Ethics Review in Every Project
Each fellowship project undergoes a data-provenance and ethics review before any substantial compute is allocated. This is part of the programme, not an afterthought.
Prerequisites Stated Plainly
Every programme lists exactly what background knowledge is needed before enrolment. There are no hidden assumptions or marketing-friendly descriptions of difficulty.
Cluster Access Included
The RL course and fellowship both include compute allocation. Learners work on actual hardware rather than toy datasets sized to run on a laptop.
Ready to Open a New Entry?
Tell us which programme interests you and what background you're coming from. We'll respond within two working days with a direct answer.
Common Questions
What is the entry requirement for the research papers course?
You need to be able to train a small neural network from scratch in Python and be comfortable reading mathematical notation. The course does not teach those foundations—it starts where they end.
Are all sessions live, or can I follow at my own pace?
Weekly reading sessions and office hours are scheduled. Assignments have deadlines but can be worked on at any hour. If you miss a live session, a written record is shared within 24 hours—there is no video recording.
What does the RL course's cluster access cover?
Each enrolled learner receives a fixed compute budget for the 17-week period, sufficient for all 15 assignments and the simulation environment project. Additional allocation can be requested and is reviewed on a case-by-case basis.
Is the fellowship available to undergraduates?
The fellowship is aimed at engineers with production experience or postgraduate students. Undergraduates are considered individually if they can demonstrate relevant independent project work in their application.
How is pricing structured — per cohort or ongoing access?
Payment is per cohort. The fee covers the full programme duration. Written materials and your own assignment feedback remain accessible after the cohort ends; live sessions and office hours do not.
What is the refund policy?
A full refund is available up to seven days before a cohort starts. After that, a prorated refund applies for the first four weeks of the programme. No refund is issued after week four. Full details are in the Terms and Conditions.
Do programmes lead to a qualification or certificate?
Neurantis issues a completion record that states which programme was completed, the cohort dates, and the assignment record. This is not a regulated qualification. The fellowship produces publicly released research work, which stands as its own evidence of activity.
Find Us in Kuala Lumpur
Level 15, Menara Prestige, Jalan Pinang, 50450 Kuala Lumpur
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Contact Details
Phone
+60 3 9059 6284Address
Level 15, Menara Prestige
Jalan Pinang, 50450
Kuala Lumpur, Malaysia
Office Hours
Monday–Friday: 09:00–18:00 MYT
Saturday: 10:00–14:00 MYT
Sunday: Closed