MLOps & Model Deployment Basics

The bridge between 'we built a model' and 'the model is in production and trustworthy'. This course covers packaging models, CI/CD for machine learning, monitoring for drift, and the responsible-AI checks every deployment should clear before it touches customers.

HRD Corp Training Provider MalaysiaHRD Corp SBL-Khas Claimable

Programme Modules

01

Model Packaging

Turning a notebook into a deployable artefact — containers, APIs and reproducible environments.

02

CI/CD for ML

Automating test, build and deploy for models, and how ML pipelines differ from software pipelines.

03

Monitoring & Drift

Tracking performance in production, detecting data and concept drift, and knowing when to retrain.

04

Responsible-AI Checks

Bias, explainability, logging and governance gates before and after a model goes live.

Key Outcomes

Training Mode   Physical / Online / Hybrid / e-learning

HRD Corp   SBL-Khas Claimable

Duration   2 Days

Training Hours   9:00 AM to 5:00 PM

Level   Intermediate to Advanced

Certificate   None — Orbix own course. Delivered as an HRD Corp claimable workshop with an Orbix certificate of completion.