Curated to help students engage in specialized learning of how AI is transforming financial markets. Students get a chance to build real world, impactful group projects in the field of AI and finance!

Deep Dive: AI + Finance

Deep Dive: AI + Finance

Our AI + Finance Deep Dive is curated to help students engage in specialized learning of how AI is transforming financial markets. Students get a chance to build real world, impactful projects in the field of AI and finance!

Program Structure

Weeks 1 & 2:

Introduction to AI and Finance

Weeks 3 & 5:

Receive an introduction to key topics in AI and finance - including Exploratory Data Analysis, Regressions, Convolutional Neural Networks, and more

Weeks 6 & 10:

Deep dive into some more complex topics

Program Structure

Weeks 1 to 2:

Introduction to AI and Finance

Weeks 3 to 5:

Receive an introduction to key topics in AI and finance - including Exploratory Data Analysis, Regressions, Convolutional Neural Networks, and more

Weeks 6 to 10:

Deep dive into some more complex topics

Program Details

This program is conducted entirely online!

  • 25 hours over 10 weeks (weekends).

  • Section lectures for 1.5 hours and group session with a 5:1 student to mentor ratio for 1 hour (total: 2.5 hours per session).

  • Completion of AI Scholars or background in coding.

  • Grades 8-12.

  • A group project with 3-4 other students.

Here is the program brochure with more details!

Program Details

This program is conducted entirely online!

  • 25 hours over 10 weeks (weekends).

  • Section lectures for 1.5 hours and group session with a 5:1 student to mentor ratio for 1 hour (total: 2.5 hours per session).

  • Completion of AI Scholars or background in coding.

  • Grades 8-12.

  • A group project with 3-5 other students.

Here is the program brochure with more details!

AI DEEP DIVE AI FINANCE COURSE SYLLABUS

Session 1
Session 2
Session 3
Session  4
Session 5
Session 6
Session 7
Session 8
Session 9
Session 10
Lecture 1: Theory
Financial Instruments: Stocks, Bonds, and Derivatives
Principles of Finance: Risk and Reward
Efficient Frontier: Markowitz Optimization, CAPM, and Sharpe
Random Walks and Monte Carlo Simulations
Risk Management: Exposure, Hedging, and Validation
Factor Models + Fama French
Universe Selection and Clustering
NLP and Sentiment Analysis
Disaster Strikes! When AI in Finance Fails
Presentations
Lecture 2: Code Walk-Through
Data Accessibility and Time Series
VaR, Drawdown, Sharpe Ratio, and Normality
Developing the Efficient Frontier
Simulations of Stock Returns
Graphical Networks
Deploying Factor Model Signals
Clustering, Ridge, and LASSO for Universe Selection
Trend filtering, sentiment scores, and corpus processing
Project work: Final Presentation
Presentations
Section:
Hands-on work (C)
Hands-on work (C)
Hands-on work (C)
Hands-on work (C)
Hands-on work (C)
Hands-on work (C)
Project: Baseline Model 
Project: Advanced Model 
Project work: Final Presentation
Closing Ceremony

DEEP DIVE: AI + FINANCE COURSE SYLLABUS

Lecture 1:

Theory

Financial Instruments: Stocks, Bonds, and Derivatives

Session 1

Principles of Finance: Risk and Reward

Session 2

Efficient Frontier: Markowitz Optimization, CAPM, and Sharpe

Session 3

Random Walks and Monte Carlo Simulations

Session 4

Risk Management: Exposure, Hedging, and Validation

Session 5

Factor Models + Fama French

Session 6

Universe Selection and Clustering

Session 7

NLP and Sentiment Analysis

Session 8

Presentations

Session 10

Lecture 2:

Code Walk-Through

Data Accessibility and Time Series

VaR, Drawdown, Sharpe Ratio, and Normality

Developing the Efficient Frontier

Simulations of Stock Returns

Graphical Networks

Deploying Factor Model Signals

Clustering, Ridge, and LASSO for Universe Selection

Trend filtering, sentiment scores, and corpus processing

Section:

Hands-on work (C)

Hands-on work (C)

Hands-on work (C)

Hands-on work (C)

Hands-on work (C)

Hands-on work (C)

Project: Baseline Model

Project: Advanced Model

Project work: Final Presentation

Closing Ceremony

Disaster Strikes! When AI in Finance Fails

Session 9

Project work: Final Presentation

Presentations