Recommendation System Course
This course provides practical skills for developing scalable video recommendation systems, covering data processing, feature engineering, algorithms, evaluation, and 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'll tidy up and check interaction data, craft 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 searching, oversight, and instant personalisation to deliver solid, expandable recommendation setups.
Elevify advantages
Develop skills
- Build ready-for-use recommenders: from raw data to ranked top-N lists quickly.
- Craft video-focused features: viewing habits, freshness, and content cues.
- Put in place scalable ANN search and two-step retrieval for massive 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 the 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