Recommendation System Course
This course provides hands-on experience in building, evaluating, and deploying scalable video recommendation systems using advanced techniques like collaborative filtering, matrix factorization, and hybrid models, while addressing real-world challenges such as cold starts and bias.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Recommendation System Course equips you with practical skills to design, evaluate, and deploy high-performing video recommenders. You will clean and audit interaction data, engineer powerful user, item, and contextual features, and apply collaborative filtering, matrix factorization, and hybrid models. Learn ranking metrics, A/B testing, ANN search, monitoring, and real-time personalisation to ship reliable, scalable recommendation pipelines.
Elevify advantages
Develop skills
- Build production-ready recommenders: from raw data to ranked top-N lists fast.
- Engineer video-specific features: watch patterns, recency, and content signals.
- Implement scalable ANN search and two-stage retrieval for huge item catalogues.
- Evaluate and A/B test recommenders with ranking, CTR, and engagement metrics.
- Handle cold start, bias, and drift with practical, business-focused tactics.
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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