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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of 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 and simple to use. The diversity of content and complementary videos really help with learning.
André FelipePrompt Engineering Student
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