Recommender System Course
This course teaches building effective video recommender systems by tracking user actions, engineering features, implementing algorithms, evaluating performance, and deploying to production.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Recommender System Course provides a quick, hands-on way to create effective video recommendations. You will learn to track user actions such as views, likes, watch time, and searches, develop strong features, and manage data gaps. You will create efficient systems, select suitable algorithms, adjust performance measures, and conduct solid A/B tests to increase user involvement, loyalty, and time spent in actual products.
Elevify advantages
Develop skills
- Design video recommenders: transform user actions into effective suggestions.
- Engineer signals: turn raw data into clear, weighted engagement features.
- Build and tune models: implement CF, content-based, and hybrid recommenders quickly.
- Evaluate systems: apply MAP, NDCG, and A/B tests to improve CTR and watch time.
- Ship to production: create scalable systems, retraining, and cold-start processes.
Suggested summary
Before starting, you can change the chapters and 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 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 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, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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