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Recommendation System Course

Recommendation System Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This Recommendation System Course equips you with practical skills to design, evaluate, and deploy high-performing video recommenders. You will clean and audit interaction data, engineer powerful user, item, and contextual features, and apply collaborative filtering, matrix factorization, and hybrid models. Learn ranking metrics, A/B testing, ANN search, monitoring, and real-time personalization to ship reliable, scalable recommendation pipelines.

Elevify advantages

Develop skills

  • Build production-ready recommenders: from raw data to ranked top-N lists fast.
  • Engineer video-specific features: watch patterns, recency, and content signals.
  • Implement scalable ANN search and two-stage retrieval for huge item catalogs.
  • Evaluate and A/B test recommenders with ranking, CTR, and engagement metrics.
  • Handle cold start, bias, and drift with practical, business-focused tactics.

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
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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