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Recommendation System Course

Recommendation System Course
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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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