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
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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