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E-commerce Recommendation System Implementation Course

E-commerce Recommendation System Implementation Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Master the essentials of building a high-performing e-commerce recommendation system in this focused, practical course. You will model clean behavioural and catalogue data, design effective features, choose and combine algorithms, and implement end-to-end architecture. Learn evaluation, monitoring, privacy, experimentation, and scalable deployment so you can launch reliable, revenue-driving recommendations fast.

Elevify advantages

Develop skills

  • Design recommender architectures: data flows, feature stores, and APIs at scale.
  • Implement hybrid recommendation models: collaborative, content, and session-based.
  • Build production-ready pipelines: training, retraining, A/B tests, and monitoring.
  • Optimise recommendation metrics: CTR, conversion, AOV, and long-term revenue lift.
  • Enforce privacy and compliance: PII minimisation, GDPR/CCPA, and safe logging.

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 a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
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 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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