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AI Specialist Course

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

What will I learn?

This AI Specialist Course equips you with hands-on skills to convert raw session data into precise, production-ready predictions. You will cover data preprocessing, feature engineering, temporal splits, model design and tuning using tree-based methods, neural networks, and calibration techniques. Additionally, master business KPIs, experimentation, monitoring, explainability, and deployment to ensure your AI solutions deliver quick, measurable impact in e-commerce.

Elevify advantages

Develop skills

  • Session data preparation: clean, filter, and transform raw logs into model-ready datasets.
  • Feature engineering: create effective session, user, and time-based predictors quickly.
  • Model design: select and optimise tree, GLM, and neural models for e-commerce AI.
  • Robust evaluation: implement time splits, prevent leakage, and monitor production drift.
  • Production ML: deploy, monitor, explain, and refine AI models with product teams.

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 lessons 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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