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Artificial Intelligence for Finance Course

Artificial Intelligence for Finance Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

You will learn how to source, clean, and engineer financial data for AI models, then apply supervised and unsupervised machine learning to credit, pricing, and segmentation problems. The course covers deep learning architectures for time series forecasting and NLP techniques for extracting signals from earnings calls, filings, and news. You will build fraud detection and market risk systems, design AI-powered trading strategies, and evaluate them with rigorous backtesting frameworks. Governance, explainability, and regulatory compliance are integrated throughout so your models hold up to real-world scrutiny.

Elevify advantages

Develop skills

  • Financial Data Engineering: Build scalable pipelines that clean, transform, and version financial datasets.
  • ML Model Development: Train, tune, and evaluate supervised and unsupervised models on real financial problems.
  • Risk and Fraud Detection: Design AI systems that quantify credit risk, flag fraud, and meet regulatory standards.
  • NLP Signal Extraction: Build sentiment analysers and LLM-powered tools that turn financial text into actionable insights.

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 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...
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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.
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Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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