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Machine Learning & Artificial Intelligence Course

Machine Learning & Artificial Intelligence Course
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

This Machine Learning & Artificial Intelligence Course provides a quick, practical route from raw data to dependable predictive models. You will learn data loading, cleaning, and validation, exploratory data analysis, feature engineering, and binary classification using logistic regression, decision trees, and random forests. Gain expertise in model explainability, reporting, basic deployment, monitoring, and ethical practices to deliver models that create tangible impact.

Elevify Advantages

Develop Skills

  • Build clean ML datasets: load, validate, and preprocess real product data quickly.
  • Engineer predictive features: encode, scale, and select signals that enhance performance.
  • Train and tune classifiers: logistic regression, trees, and forests with robust validation.
  • Explain model decisions: SHAP, feature importance, and clear visuals for stakeholders.
  • Deploy and monitor models: launch prototypes, track drift, and iterate using A/B tests.

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 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 supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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