Data Science Engineering Course
This course equips you with practical skills to build reliable, production-ready ML systems, from problem framing and data handling to automated deployment and monitoring.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short, practical Data Science Engineering Course shows you how to frame ML problems, define KPIs, and respect real-world constraints while building reliable models. You will learn feature engineering, time-aware validation, class imbalance handling, and interpretability, then design robust pipelines, manage sensor data quality, automate training, and set up monitoring for stable, high-impact deployments.
Elevify advantages
Develop skills
- Production ML design: frame KPIs, constraints, and targets for real systems.
- Robust data pipelines: validate schemas, handle drift, and clean sensor streams.
- Advanced feature engineering: build temporal, rolling, and cross-machine signals.
- Model training & evaluation: tune GBMs/logistic models with business metrics.
- MLOps automation: deploy, monitor, retrain, and rollback models with confidence.
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 my 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 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 really help with learning.

André FelipePrompt Engineering Student
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