Machine Learning Development Course
This course equips you with practical skills to develop, deploy, and maintain machine learning models using Python and scikit-learn, focusing on real-world applications from data preparation to production monitoring.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Machine Learning Development Course teaches you how to source, clean, and engineer customer data, then train, tune, and compare binary classifiers using Python and scikit-learn. You will learn robust validation, business-focused metrics, threshold selection, and model interpretation, then package models into APIs, ensure reproducibility, meet privacy requirements, and monitor performance after deployment for reliable, real-world impact.
Elevify advantages
Develop skills
- Build robust ML pipelines: clean data, engineer features, and handle imbalance fast.
- Train and tune models: compare algorithms, optimize hyperparameters, pick winners.
- Design production-ready ML APIs: serialize models, validate inputs, and secure calls.
- Evaluate models with business-first metrics: ROC-AUC, PR-AUC, F1, and cost tradeoffs.
- Monitor deployed models: detect drift, log experiments, and plan retraining cycles.
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.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 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 FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
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 CarloPrompt Engineering Student
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