AI Recommendation Systems Development Course
This course equips learners with practical skills to develop, evaluate, and deploy AI recommendation systems using real-world data and modern techniques.

flexible workload of 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 real products. You will work with real-world datasets, build baselines, implement personalised algorithms, and master ranking metrics. Learn to handle bias, cold start, monitoring, retraining, and documentation so your models remain reliable, scalable, and aligned with business goals.
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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
Your lessons 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, and I've already recommended you to others...

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

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

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 CarloPrompt Engineering Student
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