AI & ML Course
4/5
This course offers hands-on experience in building and deploying churn prediction models using AI and ML, covering the full lifecycle from data preparation to monitoring and optimization.
4.0 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This AI & ML Course provides a quick, hands-on route from basic 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 fit for business.
Elevify advantages
Develop skills
- Production ML deployment: design sturdy APIs, batch tasks, and secure rollouts quickly.
- Churn modelling expertise: define targets, select metrics, and tackle class imbalance.
- Practical feature engineering: construct time, money, and behaviour indicators that forecast.
- Model explainability in action: apply SHAP and PDPs to convert insights into steps.
- Monitoring and drift detection: establish metrics, 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 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 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 really help with learning.
André FelipePrompt Engineering Student
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