Recommender System Course
This course teaches practical recommender system development for video platforms, focusing on user signals, feature engineering, model building, evaluation, and production deployment to boost engagement metrics.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Recommender System Course provides a quick, practical pathway to developing high-impact video recommendations. You'll learn to capture user behaviour signals such as views, likes, watch time, and searches, engineer robust features, and manage sparsity. Design scalable pipelines, select effective algorithms, tune offline metrics, and conduct reliable A/B tests to increase engagement, retention, and session length in actual products.
Elevify advantages
Develop skills
- Design video recommenders: transform user behaviour 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 quickly.
- Evaluate systems: use MAP, NDCG, and A/B tests to improve 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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