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AI & ML Course

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

What will I learn?

This AI and ML 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 uneven data, and evaluate models using proper measures. Next, you'll cover explanations, bias reviews, rollout methods, oversight, shift spotting, and split testing to keep models precise, rule-compliant, and fit for business use.

Elevify advantages

Develop skills

  • Production ML rollout: craft sturdy APIs, batch tasks, and secure launches swiftly.
  • Churn prediction expertise: set goals, select measures, and tackle data imbalance.
  • Hands-on feature creation: develop timing, spending, and action indicators that forecast.
  • Model clarity in action: apply SHAP and PDPs to convert insights to steps.
  • Oversight and shift spotting: establish measures, warnings, and checks for steady 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.
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 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 really help with learning.
André Felipe
André FelipePrompt Engineering Student

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