Recommendation System Course
Master real-world recommendation systems for video streaming: clean and join messy data, engineer powerful features, build and scale ranking models, handle cold start, monitor performance, and optimize metrics that matter for your tech product.

4 to 360 hours of 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 Differentials
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
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
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course