E-commerce Recommendation System Implementation Course
This course teaches end-to-end development of e-commerce recommendation systems, covering data modelling, algorithm selection, architecture design, evaluation techniques, and monitoring. Participants will learn to deploy scalable, privacy-compliant recommenders that boost revenue for retail and product teams in real-world scenarios.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in creating effective e-commerce recommendation systems through practical training. Cover data modelling from behavioural and catalog sources, feature engineering, algorithm selection and hybridisation, full-stack implementation, performance evaluation, privacy measures, experimentation via A/B tests, and scalable deployment strategies to deliver quick revenue impact.
Elevify advantages
Develop skills
- Design scalable recommender architectures including data flows, feature stores, and APIs.
- Implement hybrid recommendation models using collaborative, content, and session-based methods.
- Build production-ready pipelines for training, retraining, A/B testing, and monitoring.
- Optimise key recommendation metrics like CTR, conversion, AOV, and long-term revenue.
- Ensure privacy compliance with PII minimisation, GDPR, CCPA, and secure logging practices.
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.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

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

Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.

André FelipePrompt Engineering Student
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