Models are easy. Running them isn't. Master MLOps to deploy, monitor and maintain ML in production.
Hands-on with the practices that take models from notebook to reliable, production-grade systems.
Take ML from notebook to production.
Keep models healthy and accurate over time.
MLOps is what most ML projects lack.
MLOps (Machine Learning Operations) teaches the practices that turn a trained model into a reliable production system. You'll learn model packaging and deployment, versioning of data and models, CI/CD for ML, monitoring for drift and performance, and automation — the discipline that separates a demo notebook from real, maintainable machine learning in production.
ML & Python! Machine-learning knowledge and solid Python are recommended; basic Git/cloud familiarity helps. This is an advanced course.
Earn the "MLOps Engineer" badge upon completing all modules and the hands-on final assessment.
Verifiable CredentialWhy models fail in production and the MLOps lifecycle.
Containerise and serve models as APIs.
Track data, models and build ML pipelines.
Automate testing and deployment of ML.
Detect drift and ship an end-to-end MLOps project.
Deploy and maintain ML in production.
Ship models that actually run reliably.
Build ML platforms and pipelines.
Bridge data and production ML.
Machine-learning knowledge and solid Python are recommended; basic Git and cloud familiarity help. Our ML Fundamentals course is good preparation.
A laptop; we use free tools — Python, Docker, MLflow, Git and free cloud tiers. Set-up help is provided.
To receive the Edmire MLOps Engineer Certificate, complete all 5 modules and the capstone — a deployed, monitored ML pipeline. Resubmission is free if needed.
Most ML models never reach production or silently degrade once there. MLOps is the discipline that deploys, monitors and maintains models reliably — increasingly the difference between ML that delivers value and ML that doesn't.
Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.
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