AI development workspace

Plate A-01 · Latentry School of AI

Where AI Skills Are Built to Last

Structured cohorts, specialisations and part-time programmes for practitioners who want disciplined, repeatable methods — not shortcuts.

Plate B-01 · Programme Index

Three Structured Learning Paths

Each path is designed around a specific domain of AI work. Choose the one that fits where you are now and where you want to go next.

Data Handling and Baselines cohort

B-01-A · 9 weeks

Data Handling and Baselines

A nine-week cohort covering responsible data sourcing, schema understanding, honest splitting and sensible baseline construction. Three datasets of increasing complexity, short written analyses alongside code.

  • 18 live sessions with written feedback
  • Dataset library and peer review pairing
  • 7 hrs/week commitment · Completion record
RM 480 Enquire
Computer Vision Specialisation

B-01-B · 15 weeks

Computer Vision Specialisation

A fifteen-week path through image data end to end — preprocessing, convolutional architectures, object detection, transfer learning and inference on modest hardware. Learners build three systems including one deployed build.

  • 30 live sessions with GPU credits included
  • Three reviewed builds and portfolio review
  • 10–12 hrs/week · Mentor office hours
RM 1,960 Enquire
MLOps and Deployment Programme

B-01-C · 9 months

MLOps and Deployment Programme

A nine-month part-time programme covering what happens after a model works on a laptop: versioning, pipeline orchestration, containerisation, serving, drift monitoring and the documentation a maintainer actually needs.

  • Cloud credits and five project reviews
  • On-call simulation and architecture writing workshop
  • 12–15 hrs/week · Detailed final assessment
RM 4,380 Enquire

Plate C-01 · Why Latentry

What Makes the Difference

Mapped Curricula

Each session is a plate in a structured atlas. You always know where you are, what came before and what comes next.

Live Cohort Format

You work alongside others at the same stage. Peer review pairings and critique sessions create the kind of feedback loops self-study rarely produces.

Real Datasets, Real Constraints

Exercises use datasets that have actual problems — missing values, schema drift, class imbalance — so habits form against real conditions.

Written Analysis Practice

Code alone is not enough. Programmes include short written analyses so you develop the communication habits working teams depend on.

Infrastructure Included

GPU credits, cloud workspace and a dataset library come with the relevant programmes. You focus on learning, not provisioning.

Honest Progress Tracking

Checkpoint reviews by working engineers keep assessments grounded in what production environments actually demand, not abstract rubrics.

Plate D-01 · Enrolment

Ready to Start Building With Intention?

Cohorts run on a fixed schedule with limited seats. If a path interests you, reach out now to confirm timing and availability.

Plate E-01 · Common Questions

Frequently Asked Questions

Who are these programmes designed for?
The Data Handling cohort requires basic Python. The Computer Vision Specialisation assumes prior modelling experience. The MLOps Programme is suited to developers with production background. Each description specifies what to bring to the first session.
How are sessions delivered?
All sessions are live and online. Recordings are available for enrolled participants. Exercises are submitted asynchronously and returned with written feedback within a stated window.
When do cohorts start?
Cohorts open on a rolling schedule, typically monthly. Contact us to confirm the next available start date for whichever path you are considering. Seats are capped to maintain the quality of peer interaction.
What do the prices include?
Prices include all live sessions, exercise feedback, the dataset library, and any cloud or GPU credits listed in the programme description. There are no additional platform fees or required software purchases.
Is there a refund or withdrawal option?
Withdrawal and refund terms are set out in the Terms and Conditions. In general, requests made before the second session can be considered. Write to us at [email protected] with your enrolment details.
How is my personal data handled?
Latentry collects only the information needed to administer enrolment and communicate about sessions. Data is not sold to third parties. Full details are in the Privacy Policy.
Do I receive any documentation on completion?
Participants who complete the required sessions and submit all assessed work receive a completion record from Latentry. The MLOps Programme also includes a written portfolio review you can share with employers or collaborators.

Plate F-01 · Location

Find Our Office

11 Jalan Kerinchi, 59200 Kuala Lumpur, Malaysia

Plate G-01 · Contact

Get in Touch

Contact Details

  • Address

    11 Jalan Kerinchi
    59200 Kuala Lumpur
    Malaysia
  • Office Hours

    Mon–Fri: 9:00 AM – 6:00 PM MYT
    Sat: 10:00 AM – 2:00 PM MYT
    Sun: Closed

Send an Enquiry

By submitting this form, you agree to our Privacy Policy and Terms & Conditions.