AI & ML Course
This course equips learners with hands-on skills to build, deploy, and maintain production-ready machine learning models for churn prediction, covering feature engineering, model evaluation, explainability, and ongoing monitoring.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This AI & ML Course provides a swift, practical route from raw subscription data to dependable churn prediction in production. You will frame the problem, engineer powerful features, handle imbalance, and compare models with the appropriate metrics. Then you will learn explainability, bias checks, deployment patterns, monitoring, drift detection, and A/B testing so your models remain accurate, compliant, and business-ready.
Elevify advantages
Develop skills
- Production ML deployment: design robust APIs, batch jobs, and safe rollouts quickly.
- Churn modelling mastery: frame targets, select metrics, and handle class imbalance.
- Practical feature engineering: build time, monetary, and behaviour signals that predict.
- Model explainability in practice: use SHAP and PDPs to turn insights into actions.
- Monitoring and drift detection: set metrics, alerts, and tests for stable ML models.
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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