Recommender System Course
This course provides a practical guide to building effective video recommender systems, covering user behavior analysis, feature engineering, model selection, evaluation, and production deployment to enhance user engagement.

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.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 extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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