AI ML Course
4/5
Master AI & ML for subscription churn: explore data, build and compare models, explain predictions, and deploy robust, monitored systems. Learn metrics, A/B testing, drift detection, and CI/CD to ship reliable, business-ready ML in production.

4.0 rating
4 to 360 hours of 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 Differentials
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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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