AI & ML Course
4/5
This course equips learners with practical skills in AI and ML, focusing on churn prediction from data preparation to production deployment, including model evaluation, explainability, monitoring, and ethical considerations.
4.0 in rating
flexible workload from 4 to 360h
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 imbalances, and evaluate models using proper measures. Next, you'll cover explanations, bias reviews, deployment methods, oversight, drift spotting, and A/B trials to keep your models precise, rule-compliant, and fit for business.
Elevify advantages
Develop skills
- Production ML deployment: create sturdy APIs, batch tasks, and secure launches quickly.
- Churn modelling expertise: set targets, choose measures, and tackle class imbalance.
- Hands-on 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 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 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 help a lot with learning.
André FelipePrompt Engineering Student
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