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 1Session 2Session 3Session 4Session 5Session 6Session 7Session 8Session 9Session 10Lecture 1: TheoryFinancial Instruments: Stocks, Bonds, and DerivativesPrinciples of Finance: Risk and RewardEfficient Frontier: Markowitz Optimization, CAPM, and SharpeRandom Walks and Monte Carlo SimulationsRisk Management: Exposure, Hedging, and ValidationFactor Models + Fama FrenchUniverse Selection and ClusteringNLP and Sentiment AnalysisDisaster Strikes! When AI in Finance FailsPresentationsLecture 2: Code Walk-ThroughData Accessibility and Time SeriesVaR, Drawdown, Sharpe Ratio, and NormalityDeveloping the Efficient FrontierSimulations of Stock ReturnsGraphical NetworksDeploying Factor Model SignalsClustering, Ridge, and LASSO for Universe SelectionTrend filtering, sentiment scores, and corpus processingProject work: Final PresentationPresentationsSection: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 PresentationClosing Ceremony
