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Automate Financial Analysis with AI Pipelines

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Coursera

Automate Financial Analysis with AI Pipelines

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Recently updated!

March 2026

Assessments

5 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the Quantitative Finance & Risk Modeling Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course

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.

What's included

7 videos4 readings5 assignments

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.