ML Engineering Course
This course equips you with the skills to build and deploy production-ready machine learning systems, focusing on real-time recommendation engines and scalable MLOps practices.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The ML Engineering Course shows you how to build real-time recommendation systems from end to end. Learn data collection, schema design, feature stores, and scalable storage, then move into feature engineering, training pipelines, and model selection. You also master serving architectures, monitoring, experimentation, and cost optimisation so you can ship reliable, high-impact ML products quickly and confidently.
Elevify advantages
Develop skills
- Production ML pipelines: design robust data, feature, and training workflows fast.
- Real-time recommenders: build low-latency, scalable ranking and retrieval APIs.
- Feature engineering at scale: create batch and streaming features for impact.
- ML deployment & MLOps: ship, version, and roll back models with confidence.
- Monitoring ML systems: track drift, KPIs, and reliability in live environments.
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 lessons are perfect. I purchased 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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