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ML Engineering Course

ML Engineering Course
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

The ML Engineering Course teaches 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.
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
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 Carlo
Giulio CarloPrompt Engineering Student

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