AI & ML Course
4/5
This course offers practical skills in AI and ML, focusing on churn prediction, model deployment, and maintenance for real-world applications.

4.0 in rating
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 forecasting in live systems. You'll define the issue, create strong features, manage data imbalance, and evaluate models using suitable measures. Next, you'll cover interpretability, bias assessments, deployment methods, oversight, drift spotting, and A/B trials to keep your models precise, rule-compliant, and fit for business use.
Elevify advantages
Develop skills
- Production ML deployment: create sturdy APIs, batch processes, and secure launches swiftly.
- Churn modelling expertise: define objectives, select measures, and address class imbalance.
- Hands-on feature engineering: construct time, value, and activity indicators that forecast.
- Model interpretability in action: apply SHAP and PDPs to convert insights into steps.
- Oversight and drift spotting: 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 got 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 extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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