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AI Recommendation Systems Development Course

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

What will I learn?

The AI Recommendation Systems Development Course teaches you how to design, evaluate, and deploy high-impact recommenders for actual products. You will use real-world datasets, create baselines, implement personalised algorithms, and master ranking metrics. Learn to manage bias, cold starts, monitoring, retraining, and documentation so your models remain reliable, scalable, and in line with business objectives.

Elevify advantages

Develop skills

  • Build recommendation datasets: clean, sessionise, and extract implicit feedback.
  • Implement strong baselines: popularity, contextual, and randomised recommenders.
  • Design robust evals: time-based splits, ranking metrics, and significance tests.
  • Train modern recommenders: MF, neighbourhood, sequential, and neural hybrid models.
  • Ship production-ready recsys: serving, monitoring, retraining, and bias mitigation.

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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