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Recommender System Course

Recommender System Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This Recommender System Course gives you a fast, practical path to building high-impact video recommendations. Learn to capture user behavior signals like views, likes, watch time, and searches, engineer robust features, and handle sparsity. You will design scalable pipelines, choose effective algorithms, tune offline metrics, and run reliable A/B tests to boost engagement, retention, and session length in real products.

Elevify advantages

Develop skills

  • Design video recommenders: turn user behavior into high-impact suggestions.
  • Engineer signals: convert raw logs into clean, weighted engagement features.
  • Build and tune models: apply CF, content-based, and hybrid recommenders fast.
  • Evaluate systems: use MAP, NDCG, and A/B tests to boost CTR and watch time.
  • Ship to production: design scalable pipelines, retraining, and cold-start flows.

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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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