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ML Engineering Course

ML Engineering Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

The ML Engineering Course teaches you to build real-time recommendation systems from start to finish. You will learn about data collection, schema design, feature stores, and scalable storage, then progress to feature engineering, training pipelines, and model selection. Additionally, you will gain expertise in serving architectures, monitoring, experimentation, and cost optimization to deliver reliable, high-impact ML products swiftly and assuredly.

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 purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are 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 videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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