E-commerce Recommendation System Implementation Course
This course equips you with the skills to implement a scalable e-commerce recommendation system, covering data modeling, algorithm selection, production pipelines, optimization, and privacy compliance for revenue impact.

flexible workload from 4 to 360h
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.
- Optimize recommendation metrics: CTR, conversion, AOV, and long-term revenue lift.
- Enforce privacy and compliance: PII minimization, GDPR/CCPA, and safe logging.
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.What our students say
Your lessons 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 I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, 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 with learning.

André FelipePrompt Engineering Student
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