Recommendation System Course
This course equips learners with hands-on expertise 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 gives you 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 personalization 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 catalogs.
- 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
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