
You will understand the structure and scope of the course. We will also go over ethical use of GenAI tools in investment research.
Learn a 5-step prompting framework—Task, Context, References, Evaluate, Iterate—to craft precise prompts for GenAI tools like ChatGPT in investment analysis.
Learn how to use GenAI to clearly define your personal investment goals by simulating various financial scenarios based on income, expenses, savings, and market conditions. This lecture guides you through applying a structured prompting framework to forecast wealth outcomes using savings accounts, ETFs, and custom stock portfolios.
Discover how to leverage GenAI tools like ChatGPT to screen and analyze ETFs based on thematic investment criteria, helping you identify market-driving factors and match ETFs to your investment goals. Learn practical prompting techniques to evaluate ETFs’ sector exposure, defensive qualities, and suitability for current and future market conditions.
Learn how to use GenAI tools to benchmark two thematic ETFs—Cybersecurity ETF and Blockchain ETF—across seven critical criteria including holdings, diversification, performance, and valuation. This hands-on lecture guides you to analyze and compare risk profiles, market exposure, and costs to make data-driven long-term investment decisions.
Learn how to use GenAI tools to benchmark two thematic ETFs—Cybersecurity ETF and Blockchain ETF—across seven critical criteria including holdings, diversification, performance, and valuation. This hands-on lecture guides you to analyze and compare risk profiles, market exposure, and costs to make data-driven long-term investment decisions.
This lecture teaches how to use ChatGPT to research an ETF’s holdings, performance, and macroeconomic scenarios to build a detailed SWOT analysis. It shows how to leverage AI-generated insights to evaluate the ETF’s strengths, weaknesses, opportunities, and threats compared to benchmarks like the S&P 500.
This lecture demonstrates how to create an AI Assistant that automates ETF research by analyzing fund factsheets and generating standardized investment reports. The assistant extracts key data like performance, holdings, fees, and macroeconomic scenarios, then repeats the process with each new PDF uploaded.
Learn to screen stocks by thematic criteria using Perplexity AI, enhance data outputs with custom financial metrics, and critically assess the accuracy of AI-generated financial information.
Learn how to extract and reformat key business insights from investor presentations using Google Gemini, and apply prompts to uncover both disclosed and omitted company developments relevant to investors.
Learn to analyze quarterly earnings reports by uploading documents to Microsoft Copilot and prompting it to summarize key segment performance, revenue drivers, and strategic priorities.
This lecture explains how to use ChatGPT to analyze Target Corp's earnings call transcript, focusing on extracting equity research analysts’ questions to uncover key risks and concerns. By organizing and summarizing these questions, investors gain deeper insight into management’s challenges and responses beyond the standard earnings release.
This lecture demonstrates how to use DeepSeek’s file-upload and Chain of Thought prompting features to build a detailed Discounted Cash Flow (DCF) valuation model for Unilever using real earnings data. It also covers verifying assumptions with Perplexity AI, performing sensitivity analysis.
This lecture covers using DeepSeek to generate a comprehensive SWOT analysis of Netflix by uploading multiple company documents as inputs, then refining the analysis through iterative prompts. It emphasizes breaking down tasks to avoid overwhelming the AI and using follow-up prompts to add supporting quotes and improve the quality of the insights.
Complete Course Recap
Generative artificial intelligence is transforming investment decision-making, enabling long-term investors to make smarter decisions. This course gives you the hands-on training to apply AI tools across the full spectrum of fundamental investment research — from analyzing individual companies to evaluating ETFs. Whether you're a long-term investor, finance professional, or a student, you'll learn how to best leverage GenAI tools.
GenAI Tools Covered
ChatGPT
Google Gemini
DeepSeek
Perplexity AI
Microsoft Copilot
Case Studies: Real Companies and ETFs Featured
Companies:
Nvidia
Microsoft
Target Corp
Netflix
Palantir
Unilever
ETFs:
Rize Cybersecurity ETF
iShares Blockchain and Technology ETF
Invesco Internet ETF
Learning Outcomes
Transferrable GenAI Skills:
Apply GenAI tools like ChatGPT, Gemini, Perplexity AI, Copilot and DeepSeek to analyze stocks and ETFs
Use a 5-step GenAI prompting framework to get actionable insights from AI tools
ETF Analysis with GenAI:
Screen Exchange Traded Funds (ETFs) by thematic criteria
Generate SWOT analysis of an ETF
Compare risk profile and characteristics of two ETFs
Simulate ETF performance based on future macroeconomic scenarios
Set Up AI Assistant to help with investment research
Stock Analysis with GenAI:
Screen Stocks by Thematic Criteria
Extract Key Insights from Investor Presentations
Analyze Earnings Reports
Identify Key Risks from Earnings Calls
Build a DCF Valuation Model
Generate SWOT Analysis and Scenario Simulations
Who Should Enroll
Individual investors focusing on long term horizon seeking to enhance their fundamental research using AI tools
Finance professionals aiming to streamline equity and ETF analysis
Business students interested in practical applications of AI in finance
Portfolio managers and analysts exploring new ways to assess investments.
Take your investment research to the next level with GenAI.
This course is for educational purposes only and does not offer financial advice.