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Fintech: AI & Machine Learning in Finance

Master the fundamentals of machine learning applications in finance, from crowdfunding and P2P lending to robo-advising and quantitative investments.

Master the fundamentals of machine learning applications in finance, from crowdfunding and P2P lending to robo-advising and quantitative investments.

This comprehensive course explores the intersection of machine learning and financial technology, providing professionals with essential knowledge of AI applications in finance. The curriculum covers three main areas: crowdfunding markets including equity crowdfunding and P2P lending, artificial intelligence fundamentals with practical applications in finance using Python, and modern investment technologies like robo-advising and social platforms. Students will gain practical skills in implementing machine learning models for financial applications, understanding predictive modeling, and evaluating AI-driven financial products.

Instructors:

English

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Fintech: AI & Machine Learning in Finance

This course includes

4 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Master machine learning algorithms and their financial applications

  • Understand crowdfunding, robo-advising, and social investing platforms

  • Develop skills in using Python for financial modeling

  • Learn to evaluate AI-driven financial products

  • Gain expertise in quantitative investment strategies

Skills you'll gain

Machine Learning
Artificial Intelligence
Financial Technology
Python Programming
Crowdfunding
Robo-Advising
Deep Learning
Quantitative Investment
P2P Lending
Predictive Modeling

This course includes:

PreRecorded video

Graded assignments, Exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

The course provides a comprehensive exploration of machine learning applications in finance through three key modules. First, it examines the crowdfunding market, covering equity crowdfunding and P2P lending. The second module focuses on artificial intelligence fundamentals, including machine learning tools, predictive models, and practical applications using Python. The final module covers modern investment technologies like robo-advising and social platform finance. Throughout the course, students learn both theoretical concepts and practical applications.

P2P Crowdfunding

Module 1

Overview of Artificial Intelligence

Module 2

Advanced Machine Learning

Module 3

Modern Investment Technologies

Module 4

Instructor

Leading Expert in Corporate Finance and Financial Technology

Dr. Cesare Fracassi serves as Associate Professor of Finance and Director of the Blockchain Initiative at the University of Texas at Austin's McCombs School of Business, where he combines expertise in corporate finance with innovative research in financial technology. After completing his BS and MS in Electrical Engineering from Politecnico di Milano and PhD in Finance from UCLA Anderson, he has established himself as a highly cited researcher with over 3,800 citations. His work spans multiple areas including corporate governance, credit rating agencies, and the impact of social networks on financial decision-making. As Director of the Fintech Research Lab and through his groundbreaking research on data autonomy and corporate culture, he continues to advance understanding of how social connections and technology influence financial policies. His expertise particularly shines in analyzing how social networks affect corporate decision-making, demonstrated through his influential work on external networking and internal firm governance. Through his teaching of fintech, corporate finance, and valuation across multiple programs and his visiting professorship at Wharton, he helps bridge theoretical research with practical applications while maintaining active investigation of emerging financial technologies. Before entering academia, he gained practical experience as a strategic management consultant at Booz Allen and Roland Berger in Italy and as an intern at the United Nations in New York.

Fintech: AI & Machine Learning in Finance

This course includes

4 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.