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AI Recommendation Systems Development Course

AI Recommendation Systems Development Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches designing, evaluating, and deploying effective AI recommenders for real products using real-world data. You will build baselines, develop personalised algorithms, master ranking metrics, and address challenges like bias, cold starts, monitoring, retraining, and documentation to ensure models are reliable, scalable, and business-aligned.

Elevify advantages

Develop skills

  • Build recommendation datasets by cleaning, sessionizing, and extracting implicit feedback.
  • Implement strong baselines including popularity, contextual, and randomized recommenders.
  • Design robust evaluations with time-based splits, ranking metrics, and significance tests.
  • Train modern recommenders like MF, neighborhood, sequential, and neural hybrid models.
  • Ship production-ready recsys covering serving, monitoring, retraining, and bias mitigation.

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

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 supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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