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AI Coding Course

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

What will I learn?

This course guides you through loading and cleaning real-world data using pandas, creating solid train/test splits, and developing dependable models with scikit-learn. You'll master feature engineering, classifier tuning and evaluation using appropriate metrics, and building production-ready pipelines, tests, prediction functions, while understanding deployment constraints, monitoring, and ethical practices.

Elevify advantages

Develop skills

  • Data preparation using pandas: clean, profile, and prepare real-world datasets efficiently.
  • Effective train/test splits: design robust divisions, cross-validation, and repeatable experiments.
  • Feature engineering for click-through rate: encode, scale, and choose impactful features.
  • Scikit-learn model building: construct, optimise, and analyse deployable classifiers.
  • Production AI pipelines: implement tested code, workflows, and secure model deployment.

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 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 switch 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 really help with learning.
André Felipe
André FelipePrompt Engineering Student

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