ML Ops Course
This course equips you with essential MLOps skills to deploy, monitor, and maintain machine learning models in production environments efficiently and securely.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This ML Ops Course teaches you how to shift models from notebooks to reliable production swiftly and securely. You will learn canary and blue-green releases, quick rollback, CI/CD for models, containerisation, Kubernetes serving, and secure configuration. The course also covers experiment tracking, versioning, monitoring, drift detection, and practical on-call runbooks to keep your ML systems stable and high-performing.
Elevify Advantages
Develop Skills
- Production ML releases: ship models with canary, blue-green, and fast rollback.
- Reproducible ML training: version data, code, and models for audit-ready runs.
- Containerised ML serving: build lean Docker images and deploy to Kubernetes safely.
- CI/CD for ML models: automate tests, security scans, and zero-downtime rollouts.
- ML monitoring & on-call: detect drift, debug incidents, and run reliable churn models.
Suggested Summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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