Data Science AI ML Course
This course equips learners with end-to-end skills to develop, evaluate, and deploy recommendation and prediction models in data science and AI/ML, focusing on practical applications for business impact.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Data Science AI ML Course provides practical, end-to-end skills to build and deploy high-performing recommendation and prediction models. Learn to clean and explore interaction logs, engineer powerful user, item, and sequence features, train classical and deep ranking models, choose the right metrics, and run offline and online tests, while handling drift, bias, fairness, and real-time serving constraints for measurable business impact.
Elevify advantages
Develop skills
- Build production-ready recommenders: from raw logs to ranked product lists.
- Engineer powerful user, item, and sequence features for e-commerce models.
- Train and tune ML ranking models, from tree-based to deep two-tower nets.
- Evaluate and compare models with ROC AUC, ranking metrics, and A/B-style tests.
- Deploy, monitor, and retrain models with drift checks and business KPIs.
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 got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get 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 the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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