# Generative and Agentic AI for Finance

**By Jeremy Bejarano and Mark Hendricks**

Last updated: {sub-ref}`today` 

This set of notes is designed to accompany _FINM 33200: Generative and Agentic AI for Finance_. 

**Course Description**
This course provides hands-on experience with generative AI and agentic technologies and their practical applications in quantitative finance. Students will start by mastering modern AI development tools like Cursor editor and GitHub Copilot, then progress through understanding AI tool use, building autonomous agents, and implementing sophisticated systems like RAG. The course emphasizes real-world implementation using cutting-edge AI frameworks, covering everything from LLM fundamentals and the Model Context Protocol to building custom AI applications and deploying them in production environments. By the end of the course, students will be proficient in creating production-ready AI applications that can transform financial workflows and decision-making processes through intelligent automation and enhanced data analysis.


## Table of Contents

```{toctree}
:maxdepth: 1
README.md
overview.md
```

```{toctree}
:maxdepth: 1
:caption: Discussions 📖
discussion_01.md
discussion_02.md
discussion_03.md
discussion_04.md
discussion_05.md
subject_to_change_after_this_week.md
```

```{toctree}
:maxdepth: 1
:caption: Homework 📝
HW0.md
HW1.md
HW2.md
HW3.md
HW4.md
final_project.md
```

```{toctree}
:maxdepth: 1
:caption: Exams 📋
exam_prep.md
```

```{toctree}
:maxdepth: 1
:caption: Misc 📌
acknowledgments.md
appendix.md
```