Applied Machine Learning Course
Master applied machine learning for real-world churn prediction. Build reproducible pipelines, tune and deploy models with CI/CD, monitor drift, ensure fairness and governance, and ship secure, explainable ML systems that work in production.
4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
The Applied Machine Learning Course teaches you how to build reliable churn prediction solutions from raw data to production. You will explore data cleaning, feature engineering, and robust preprocessing, then train and tune models with scikit-learn while mastering evaluation, calibration, and interpretability. Learn to address bias, design reproducible pipelines, and deploy, monitor, and govern models with strong security, logging, and CI/CD practices.
Elevify Differentials
Develop Skills
- Production ML deployment: design secure, monitored, real-time and batch systems fast.
- Reproducible ML pipelines: build, version, test, and ship scikit-learn flows quickly.
- Churn modeling mastery: tune, interpret, and calibrate models for business impact.
- Data prep for ML: clean, encode, scale, and engineer customer features that matter.
- Fair and compliant AI: detect bias, apply mitigation, and document trade-offs clearly.
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
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