Data Science and Engineering Course
This course provides hands-on training in building and deploying recommendation systems, covering the entire lifecycle from data exploration to production MLOps, with a focus on scalable, secure, and business-aligned practices.
4 to 360 hours 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 the 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 interest without needing to change platforms... I'm grateful 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 and simple to use. The diversity of content and complementary videos really help with learning.
André FelipePrompt Engineering Student
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