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Finance and Artificial Intelligence Course

Finance and Artificial Intelligence Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This short, practical course shows you how to turn AI models into reliable, profit-focused decisions. Learn to source and validate market data, engineer robust features, avoid look-ahead bias, and run trustworthy backtests. You will evaluate results with risk-adjusted metrics, manage drift and model risk, and integrate quantitative outputs with qualitative judgment for clear, defensible recommendations.

Elevify advantages

Develop skills

  • AI trading models: design, backtest, and tune signals for real-world portfolios.
  • Financial data pipelines: source, clean, and validate US equity and macro data fast.
  • Feature engineering for finance: build robust price, risk, and fundamental factors.
  • Risk-adjusted evaluation: measure Sharpe, drawdowns, and true alpha after costs.
  • Model governance in finance: monitor drift, explain decisions, and control AI risk.

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 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 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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