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Python AI ML Course

Python AI ML Course
flexible workload from 4 to 360h
valid certificate in your country

What will I learn?

Master practical AI and ML using Python in this hands-on course. You'll handle e-commerce datasets, create strong feature pipelines, train and adjust models such as logistic regression, random forests, XGBoost, and LightGBM, and assess them with business metrics. Learn to serve with FastAPI, monitor, detect drift, plan retraining, and do A/B testing to ensure models are dependable, understandable, and production-ready.

Elevify advantages

Develop skills

  • Production ML pipelines: quickly build sklearn, LightGBM, and FastAPI workflows.
  • E-commerce modelling: create conversion and ranking models that increase revenue.
  • Model evaluation: master ROC-AUC, PR-AUC, top-k, and business-focused metrics.
  • Monitoring in production: track drift, stability, and model performance in real time.
  • Feature engineering: develop RFM, session, and behavioural features that improve accuracy.

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 got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are 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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