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

4 to 360 hours of flexible workload
certificate valid 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: optimise 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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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