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AI & ML Course

4/5
AI & ML Course
4.0 in rating
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course offers a quick, hands-on route from basic subscription data to solid churn forecasts in live systems. You will define the issue, create strong features, manage data imbalance, and evaluate models using proper measures. Additionally, you will cover model explanations, bias reviews, deployment methods, monitoring, drift spotting, and A/B tests to keep models precise, rule-compliant, and fit for business use.

Elevify advantages

Develop skills

  • Production ML deployment: create strong APIs, batch processes, and secure rollouts quickly.
  • Churn modelling skills: set targets, select metrics, and tackle class imbalance effectively.
  • Hands-on feature engineering: develop time-based, value-based, and behavioural signals for accurate predictions.
  • Model explainability applied: leverage SHAP and PDPs to convert insights into real actions.
  • Monitoring and drift detection: establish metrics, alerts, and checks for reliable 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
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
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 Carlo
Giulio CarloPrompt Engineering Student

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