AI & ML Course
This course provides a practical guide to building and deploying churn prediction models using AI and ML, covering everything from data preparation to production monitoring.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This AI & ML Course gives you a fast, practical path from raw subscription data to reliable churn prediction in production. You will frame the problem, engineer powerful features, handle imbalance, and compare models with the right metrics. Then you will learn explainability, bias checks, deployment patterns, monitoring, drift detection, and A/B testing so your models stay accurate, compliant, and business-ready.
Elevify advantages
Develop skills
- Production ML deployment: design robust APIs, batch jobs, and safe rollouts fast.
- Churn modeling mastery: frame targets, pick metrics, and handle class imbalance.
- Practical feature engineering: build time, monetary, and behavior 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 are saying
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