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Machine Learning & Artificial Intelligence Course

Machine Learning & Artificial Intelligence Course
4 to 360h 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 reliable predictive models. You will learn data loading, cleaning, and validation, EDA, feature engineering, and binary classification using logistic regression, trees, and forests. Master explainability, reporting, deployment basics, monitoring, and ethical practices so you can deploy models that drive measurable 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 boost lift.
  • Train and tune classifiers: logistic, trees, and forests with solid validation.
  • Explain model decisions: SHAP, feature importance, and clear stakeholder visuals.
  • Deploy and monitor models: ship prototypes, track drift, and iterate with 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 are saying

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch 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 presentation style and video transcription, 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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