Advanced Machine Learning Course
Master real-world machine learning: frame prediction problems, build powerful features from event streams, tune and deploy models, handle drift and class imbalance, and design robust production pipelines for high-impact technology products. This course equips you with practical skills for production-ready ML systems, covering everything from feature engineering to monitoring and retraining.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches framing 7-day conversion prediction problems, engineering features from event streams, handling class imbalance via sampling, comparing model families, tuning hyperparameters, selecting thresholds, designing training workflows, and implementing deployment, monitoring, and retraining for production-ready models.
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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