AI & ML Course
4/5
This course offers practical skills in building, deploying, and maintaining churn prediction models using AI and ML techniques.

4.0 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This AI and ML Course provides a quick, hands-on route from raw subscription data to solid churn prediction in live systems. You will define the issue, create strong features, manage imbalance, and evaluate models using proper measures. Then you will cover explainability, bias reviews, deployment methods, monitoring, drift spotting, and A/B testing to keep your models precise, rule-compliant, and ready for business.
Elevify advantages
Develop skills
- Production ML deployment: design strong APIs, batch tasks, and secure rollouts quickly.
- Churn modelling expertise: define targets, select measures, and tackle class imbalance.
- Hands-on feature engineering: create time, money, and behaviour signals that forecast.
- Model explainability in action: apply SHAP and PDPs to convert insights to steps.
- Monitoring and drift detection: establish measures, warnings, and checks for steady 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 opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

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

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

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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