Corporate Finance Institute
Foundations of Machine Learning and Deep Learning for Finance

Overview

Foundations of Machine Learning and Deep Learning for Finance Course

Machine Learning and Deep Learning are revolutionizing the finance industry by enabling powerful data-driven decision-making. This course provides finance professionals with a solid understanding of these technologies and their applications in areas like risk assessment, market prediction, and fraud detection. You’ll explore key Machine Learning concepts such as supervised, unsupervised, and reinforcement learning, as well as delve into advanced topics like neural networks and generative AI. By the end of this course, you’ll be equipped to harness the power of AI to streamline processes, uncover insights, and create value for your organization. This knowledge is crucial for staying ahead in an industry increasingly shaped by AI and automation.

Who Should Take This Course

This certification course is ideal for finance professionals, analysts, and data enthusiasts looking to enhance their skills with AI-driven techniques. It’s designed for those who aspire to leverage Machine Learning and Deep Learning in finance to advance their careers in areas like financial analysis, risk management, investment banking, and fintech innovation.

Foundations of Machine Learning and Deep Learning for Finance Learning Objectives

  • Understand core concepts of Machine Learning and Deep Learning
  • Learn to leverage machine learning techniques to tackle practical financial challenges, such as predicting market trends and evaluating credit risk.
  • Explore the powerful applications of neural networks for tasks such as fraud detection and automated trading strategies.
  • Gain knowledge in using generative AI tools for scenario analysis and synthetic data generation, enhancing your capabilities in modern financial analysis.

Prerequisite Courses

Recommended courses to complete before taking this course.

Foundations of Machine Learning and Deep Learning for Finance
4.8
Glenn Hopper
Led by Glenn Hopper

Level 3

1h 41min

100% online and self-paced

Field of Study: Information Technology

NASBA CPE Credits: 2.5

Start Learning

This Course is Part of the Following Programs

Why stop here? Expand your skills and show your expertise with the professional certifications, specializations, and CPE credits you’re already on your way to earning.

AI for Finance Specialization

  • Skills You’ll Gain AI-Driven Financial Analysis, Excel Automation, and Applied AI Skills
  • Great For Financial Analyst, FP&A Analyst, Business Intelligence Analyst, Investment Bankers, Equity Research and more

What Our Members Say

Machine learning and deep learning
Very good content and delivery. Very good examples given. Assessment questions should be atleast 25 with limit on time and no. of attempts to give creditbility to the certificate.

venugopal rajamanuri

4 stars because i was born on the 4th
Laws of Robotics: 1) A robot may not injure a human being or, through inaction, allow a human being to come to harm. 2) A robot must obey the orders given it by human beings, except where such orders would conflict with the First Law. 3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.

Roberto Ferola

Machine Learning Fundamentals
This learning experience strengthened my understanding of how ML algorithms can drive insights, automate processes, and enhance analytics in the business world and helps to bridge the gap between data science and finance! 💡

Manjula Ghatagar

Excellent Introduction into ML & Deep Thinking
I can highly recommend this course to finance professionals looking to upskill and understand the impacts of AI in finance.

Kar Yiu Joshua Tse

Frequently Asked Questions

If you haven’t found your answer from our FAQ, please send us a message.
If you haven’t found your answer from our FAQ, please send us a message.
0 search results for ‘’