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AI Specialist Course

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

What will I learn?

The AI Specialist Course equips you with hands-on skills to convert raw session data into precise, production-ready forecasts. You'll cover preprocessing, feature engineering, and time-based splits, followed by building and optimising models using tree-based techniques, neural networks, and calibration. Additionally, you'll gain expertise in business KPIs, testing, monitoring, interpretability, and deployment to ensure your AI solutions quickly deliver tangible e-commerce results.

Elevify advantages

Develop skills

  • Session data prep: clean, filter, and transform raw logs into model-ready sets.
  • Feature engineering: craft powerful session, user, and temporal predictors fast.
  • Model design: choose and tune tree, GLM, and neural models for e-commerce AI.
  • Robust evaluation: build temporal splits, avoid leakage, and track drift in prod.
  • Production ML: deploy, monitor, explain, and iterate AI models with product teams.

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... I appreciate everything you do, and 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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