Recommender System Course
This course provides practical skills for building effective video recommender systems, focusing on user behavior analysis, feature engineering, model selection, evaluation, and production deployment to boost engagement and retention.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Recommender Systems Course offers a quick, practical way to build effective video recommendations. You will learn to capture user behaviour signals such as views, likes, watch time, and searches, engineer strong features, and manage sparsity. You will design scalable pipelines, select suitable algorithms, fine-tune offline metrics, and conduct reliable A/B tests to improve engagement, retention, and session duration in actual products.
Elevify advantages
Develop skills
- Design video recommenders: transform user behaviour into impactful 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 enhance 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... I appreciate everything you do, I've already recommended you to others...

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 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 supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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