Kuala Lumpur · Online · English
Study Language Models
on Your Own Terms
Stardrift Labs offers structured online programmes on working with publicly available language models — from prompt design to AI engineering. Cohort-based, mentor-supported, and built around your schedule.
Programmes
Three Pathways, One Direction
Each programme is designed around a clear study arc — recorded lectures, live cohort sessions, practice notebooks, and a final project that belongs to you.
Working with Language Models
RM 540 · 9 weeks
A nine-week online course covering tokenization, prompt design, evaluation practices, and small applied projects. Combines recorded lectures, live discussion sessions, and a practice notebook each week. Suitable for learners with basic Python familiarity.
- Weekly recorded lecture + live session
- Practice notebooks each week
- Personal final project
- Course completion record
Generative AI Practitioner Track
RM 1,460 · 12 weeks
A twelve-week intermediate track on generative AI engineering: open and publicly available models, fine-tuning approaches, evaluation practices, and retrieval-augmented architectural patterns. Three written milestones and a mentor-reviewed final project.
- Weekly cohort sessions
- Self-paced practice between sessions
- Three written milestones
- Mentor review on final project
AI Engineering Year Programme
RM 2,840 · 12 months
A twelve-month programme pairing courses across the year with monthly cohort sessions and a final capstone project. Each participant is paired with a senior mentor for the full duration. Designed for working professionals who want sustained, structured study.
- Dedicated senior mentor for 12 months
- Monthly cohort sessions
- Final capstone project
- Structured year-long curriculum
Why Stardrift Labs
Designed Around How You Actually Learn
We built our programmes for people with day jobs, existing commitments, and real curiosity about what language models can do.
Fits a Working Schedule
Recorded lectures and self-paced practice fit around employment hours. Live sessions are scheduled in advance and can be reviewed later.
Mentor-Supported Projects
Every programme closes with a project of your design, reviewed by a named mentor. You own the work; they help you make it clearer.
Practical from Week One
Each week pairs a lecture with a practice notebook. The concepts you read about on Monday, you work through on Wednesday.
Small Cohort Format
Cohort sizes are kept small enough that discussion sessions remain substantive. Questions get real answers, not redirection to documentation.
Clear Study Materials
Curriculum pages include weekly outlines, suggested reading, and small practice samples. No ambiguity about what is expected each week.
Plain Data Practices
Our privacy notice explains data practices in plain language. We collect what we need to run the programme and nothing beyond that.
Take the Next Step
Ready to Work with Language Models?
Send us a message and we'll help you find the right programme for your background and goals. No pressure, just a conversation.
Common Questions
Frequently Asked Questions
Who are these programmes designed for?
The entry-level course suits learners with basic Python familiarity who want to understand how to work with publicly available language models. The practitioner track is for people who have prior exposure to model training or equivalent self-directed study. The year programme is built for working professionals who want a sustained, structured year of study with mentor support throughout.
How much time should I set aside each week?
For the nine-week course, four to six hours per week is a reasonable estimate — one recorded lecture, one live session, and time to work through the practice notebook. The practitioner track and year programme require a similar weekly commitment, with additional time during milestone weeks. Live sessions are recorded for participants who cannot attend at the scheduled time.
What do I need to set up before the course starts?
For the entry-level course, a working Python environment and access to a publicly available language model API is sufficient. Setup instructions are provided before the first session. The practitioner track builds on this; participants are expected to have their environment working before week one. Detailed setup guides are distributed after enrolment.
What is the course completion record?
Participants who submit all practice notebooks and the final project receive a course completion record from Stardrift Labs. It documents the programme name, duration, and that the participant completed the required work. It is an educational record, not an accredited qualification.
How are payments handled?
Programme fees are quoted in Malaysian Ringgit. Payment details are provided after your enrolment enquiry is confirmed. We accept standard bank transfer. For the year programme, a payment schedule can be discussed at the time of enrolment.
Can I join mid-cohort or is there a fixed start date?
Cohorts start on fixed dates. Mid-cohort entry is not available, as the programme structure relies on the group progressing through the material together. Upcoming cohort start dates are shared with prospective participants after their initial enquiry.
How is my personal data handled?
We collect the information needed to operate the programme — name, email, and progress records. We do not share participant data with third parties for marketing purposes. Full details are in our Privacy Policy, which is written in plain language and available on this site.
Find Us
Our Location
Unit 22, Jalan Imbi, 55100 Kuala Lumpur
Enrolment Enquiries
Get in Touch
We respond to all enquiries within one business day. Tell us about your background and the programme you're considering.
Contact Details
Phone
+60 3-2143 7281Address
Unit 22, Jalan Imbi
55100 Kuala Lumpur
Malaysia
Office Hours
Monday – Friday: 9:00 am – 6:00 pm
Saturday: 10:00 am – 2:00 pm
Sunday & Public Holidays: Closed