Recommender System Course
This course provides a practical guide to building recommender systems for video platforms, covering data processing, feature engineering, model development, evaluation, and deployment to enhance user engagement.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Recommender System Course offers a quick, hands-on way to create effective video recommendations. You'll learn to track user actions such as views, likes, viewing time, and searches, create strong features, and manage data gaps. You'll build 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: use collaborative filtering, content-based, and hybrid recommenders quickly.
- Evaluate systems: apply MAP, NDCG, and A/B tests to improve click-through rates and viewing time.
- Ship to production: create scalable systems, retraining, and handling new user starts.
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 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 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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