Course
Financial AI Tutorial
Apply AI and machine learning to finance — data analysis, time-series forecasting, and risk modeling — with practical, reproducible Python examples you can adapt to real datasets.
Intermediate
Self-paced
Guide: Generative AI
Overview
Apply AI and machine learning to finance — data analysis, time-series forecasting, and risk modeling — with practical, reproducible Python examples you can adapt to real datasets.
Who this course is for: Data scientists, analysts, and engineers applying AI to financial data.
What you will learn
- Financial data analysis and feature engineering in Python
- Time-series forecasting techniques
- Fundamentals of risk modeling
- Turning models into a repeatable workflow
Prerequisites
- Python and pandas basics
- Introductory statistics
Modules
- Financial data and feature engineering
- Forecasting models
- Risk modeling
- From notebook to application
Resources
- GitHub repository — source code, notebooks, and instructions.
- Related guide: Generative AI
- More structured learning: all courses · the learning hub
- Author: Ruslan Magana Vsevolodovna — Machine Learning Engineer, Data Scientist, Physicist.