Module 5: Automation

Can machines make financial decisions?

4Lessons 16PDFs 4Notebooks

Lessons

Learning Objectives

  • Train, evaluate, and interpret a supervised ML model on financial data
  • Explain how transformers and LLMs work and apply prompt engineering for finance
  • Identify when prediction fails: overfitting, regime change, data snooping
  • Design an MLOps pipeline with monitoring, retraining, and governance

Standalone Lectures

S1
AI Agents in Finance

When algorithms act autonomously: agent architectures, applications, risks, and regulation.

📄 Slides (PDF)

Related V3 Lessons

V3 Module 3 (AI/ML): Intro AI/ML, Regression, Classification, NLP, Deep Learning, Explainability

Module Resources

📋 Summary 🎮 Demo