AI & ML Course
4/5
This course equips you with practical skills to build, deploy, and maintain churn prediction models using AI and ML, from data preparation to production monitoring.

4.0 in rating
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This AI & ML Course provides a swift, hands-on route from raw subscription data to dependable churn forecasting in production. You'll define the issue, create effective features, manage imbalance, and evaluate models using appropriate metrics. Next, you'll cover explainability, bias assessments, deployment methods, monitoring, drift detection, and A/B testing to ensure your models remain precise, compliant, and suited to business needs.
Elevify advantages
Develop skills
- Production ML deployment: design sturdy APIs, batch jobs, and secure rollouts quickly.
- Churn modelling expertise: define targets, select metrics, and address class imbalance.
- Practical feature engineering: construct time, monetary, and behavioural signals that forecast.
- Model explainability in action: apply SHAP and PDPs to convert insights into decisions.
- Monitoring and drift detection: establish metrics, alerts, and tests for reliable ML models.
Suggested summary
Before starting, you can change the chapters and the 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 a range of 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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