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Automate Financial Analysis with AI Pipelines is an intermediate-level course designed for finance and data professionals who want to integrate artificial intelligence into their analysis workflows. You’ll start by evaluating multiple AI models—such as Random Forest, XGBoost, and Neural Networks—for credit-risk classification using real financial datasets. Then, you’ll design an automated pipeline that retrieves SEC filings, retrains models, and updates dashboards with no manual intervention.
Through readings, videos, and hands-on labs, you’ll gain the practical skills to compare model performance using F1 and AUROC metrics and to deploy a continuously learning forecasting system. By the end, you’ll be able to build and explain AI-powered solutions that keep financial insights accurate, efficient, and up to date.
Automate Financial Analysis with AI Pipelines is an intermediate-level course designed for finance and data professionals who want to integrate artificial intelligence into their analysis workflows. You’ll start by evaluating multiple AI models, such as Random Forest, XGBoost, and Neural Networks, for credit-risk classification using real financial datasets. Then, you’ll design an automated pipeline that retrieves SEC filings, retrains models, and updates dashboards with no manual intervention.
Through readings, videos, and hands-on labs, you’ll gain the practical skills to compare model performance using F1 and AUROC metrics and to deploy a continuously learning forecasting system. By the end, you’ll be able to build and explain AI-powered solutions that keep financial insights accurate, efficient, and up to date.
Inclus
7 vidéos4 lectures5 devoirs
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7 vidéos•Total 29 minutes
Welcome to the course•3 minutes
Comparing Random Forest, XGBoost, and Neural Networks•5 minutes
Communicating Insights: Writing a Credit-Risk Model Memo•5 minutes
From Manual to Automated Forecasting•4 minutes
Connecting to SEC Data via the EDGAR API•5 minutes
Scheduling with Airflow or Cron•5 minutes
Congratulations and Continuous Learning•3 minutes
4 lectures•Total 32 minutes
Why Credit Risk Modeling Matters •8 minutes
Interpreting F1 and AUROC for Business Impact•8 minutes
Building the Model Retraining Script•8 minutes
Case Study: How Fintech Firms Automate Financial Intelligence•8 minutes
5 devoirs•Total 70 minutes
Graded Quiz: AI for Financial Automation Mastery•20 minutes
Compute and Interpret Model Metrics•10 minutes
Hands-on Activity: Evaluate Models on a Bond-Default Dataset•15 minutes
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