Recommender System Course
This course teaches practical recommender systems for video platforms, covering user behavior analysis, feature engineering, model building, evaluation, and production deployment to boost engagement and retention.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This Recommender System Course provides a quick, practical way to build effective video recommendations. Learn to capture user behaviour signals such as views, likes, watch time, and searches, engineer robust features, and manage sparsity. You will design scalable pipelines, select suitable algorithms, tune offline metrics, and conduct reliable A/B tests to improve engagement, retention, and session length 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 efficiently.
- 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 lessons 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 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 videos are presented and transcribed, which speeds up the process!

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

André FelipePrompt Engineering Student
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