Recommendation System Course
This course provides comprehensive training on developing video recommendation systems, covering data preparation, feature engineering, algorithmic techniques, evaluation methods, and deployment strategies for scalable and reliable systems.

flexible workload from 4 to 360h
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 effective video recommendation systems. You'll tidy up and check interaction data, create strong features for users, items, and contexts, and use collaborative filtering, matrix factorisation, and hybrid approaches. Gain knowledge in ranking measures, A/B testing, ANN search, monitoring, and real-time customisation to deliver dependable, expandable recommendation setups.
Elevify advantages
Develop skills
- Build ready-for-use recommenders: from raw data to quick ranked top-N lists.
- Create video-focused features: viewing habits, freshness, and content cues.
- Apply scalable ANN search and two-step 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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