Recommendation System Course
This course provides practical skills for developing, evaluating, and deploying effective video recommendation systems using collaborative filtering, matrix factorization, and hybrid methods, with focus on scalability, testing, and addressing real-world challenges.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Recommendation System Course equips you with hands-on skills to build, assess, and roll out top-notch video recommendation engines. You will tidy up and check interaction data, create strong features for users, items, and contexts, and use collaborative filtering, matrix factorization, and hybrid approaches. Gain knowledge on ranking measures, A/B testing, ANN search, monitoring, and real-time customisation to deliver dependable, expandable recommendation systems.
Elevify advantages
Develop skills
- Build ready-for-use recommenders: from raw data to ranked top-N lists quickly.
- Create video-focused features: viewing habits, freshness, and content cues.
- Deploy scalable ANN search and two-stage retrieval for large item collections.
- Assess and A/B test recommenders using ranking, CTR, and engagement measures.
- Tackle cold start, bias, and drift with practical, business-oriented strategies.
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
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