Data Science and Engineering Course
Master real-world recommendation systems in this Data Science and Engineering Course. Learn feature engineering, model selection, scalable pipelines, deployment, and monitoring to ship high-impact, production-ready ML for modern technology products.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master the full lifecycle of recommendation systems with this practical Data Science and Engineering Course. Learn to explore interaction logs, design robust feature pipelines, choose the right models and metrics, and run reliable experiments. Build scalable deployment, monitoring, and alerting workflows, while applying strong privacy, security, and documentation practices to deliver measurable product impact fast.
Elevify advantages
Develop skills
- Production-grade recommender features: design, validate, and prevent leakage fast.
- Model selection for ranking: pick, tune, and evaluate AUC, precision@k, NDCG.
- Scalable ML pipelines: build feature stores, ETL, and real-time serving flows.
- MLOps for recommenders: deploy, monitor drift, A/B test, and auto-rollback safely.
- Business-first problem framing: turn engagement goals into measurable ML targets.
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 classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch 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 switch chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the presentation style 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 really help with learning.
André FelipePrompt Engineering Student
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