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 in the evaluation
flexible workload from 4 to 360h
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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your lessons 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'm grateful 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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