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Machine Learning & Artificial Intelligence Course

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

What will I learn?

This Machine Learning and Artificial Intelligence Course provides a quick, hands-on 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 real 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 improve performance.
  • Train and tune classifiers: logistic regression, trees, and forests with proper validation.
  • Explain model decisions: using SHAP, feature importance, and clear visuals for stakeholders.
  • Deploy and monitor models: launch prototypes, track drift, and refine with A/B tests.

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 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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