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AI & ML Course

4/5
AI & ML Course
4.0 in the evaluation
from 4 to 360h flexible workload
certificate valid 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'll define the issue, create strong features, manage data imbalance, and evaluate models using proper measures. Plus, you'll cover model explanations, bias reviews, deployment methods, monitoring, drift spotting, and A/B tests to keep models precise, fair, and fit for business use.

Elevify advantages

Develop skills

  • Deploy machine learning to production: create sturdy APIs, batch processes, and secure rollouts efficiently.
  • Excel in churn prediction: set targets, select metrics, and balance uneven classes.
  • Engineer practical features: craft time-based, spending, and user behaviour indicators that forecast accurately.
  • Apply model explanations: leverage SHAP and partial dependence plots to convert insights into real decisions.
  • Monitor systems and detect drift: establish metrics, warnings, and checks for dependable machine learning 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 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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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