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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 & Artificial Intelligence Course provides a quick, hands-on route from unprocessed data to dependable predictive models. You'll cover 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 considerations to deliver models that create tangible results.

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 refine 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 say

Your lessons 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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