Advanced Machine Learning Course
This course covers advanced techniques in machine learning, focusing on production pipelines, feature engineering, model tuning, temporal validation, and observability to build and maintain effective ML systems.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Advanced Machine Learning Course teaches you how to frame a 7-day conversion prediction problem, engineer powerful features from event streams, and handle class imbalance with robust sampling strategies. You will compare model families, tune hyperparameters, choose thresholds, and design reliable training workflows. Finally, you learn deployment, monitoring, and retraining practices to keep models accurate and production-ready.
Elevify advantages
Develop skills
- Production ML pipelines: design, deploy, and monitor robust models fast.
- Event-based feature engineering: turn raw user logs into powerful signals.
- Advanced model tuning: optimize tree and deep models with smart search.
- Temporal validation mastery: frame, split, and evaluate time-aware data.
- ML observability & drift: track performance, detect shifts, and retrain.
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 got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...

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 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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