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Machine Learning and Reinforcement Learning in Finance Specialization (New York University)

From Coursera

Go to the official page ↗Direct official link

What you'll learn

You apply machine learning to finance problems in Python, from regression, trees and neural networks to reinforcement learning for option pricing, hedging and portfolio decisions.

  • Guided tour of machine learning in finance
  • Fundamentals of machine learning in finance
  • Reinforcement learning in finance
  • Advanced methods of reinforcement learning in finance

Source: the provider's official page ↗

Is this right for you?

Level
Advanced Experienced professionals ready for a senior credential.
What you get
A certificate from a name employers know, ready to add to LinkedIn and your résumé the day you finish.
How you learn
Online, self paced, about 72 hrs.
How to use it
Add it to LinkedIn under Licenses and certifications, post it with one thing you learned, and name the exact skills on your résumé. Then bring it up in interviews and show how you use AI to get more done.
Why it's worth it
Fast, practical proof that you are ahead on AI. It shows initiative, gives you skills you can use the same day, and hands you something concrete to talk about with every hiring manager.
What you will payPrice not publishedThe provider does not publish a price. Ask before you commit.
Time
About 72 hours across four courses.
Before you start
Basic calculus, linear algebra, probability and statistics, and Python (tutorials provided).
How you are tested
Online, self paced, on Coursera, with Jupyter, Scikit learn and TensorFlow.
Renewal
None stated.
Full cost details
Not published on the page; the FAQ says a fee is required for the certificate. Financial aid available.
Where it applies
Online and open globally; no university credit.
Checked at the source Oct 23, 2026
Sources and what we verifiedCoursera specialization page: four courses, hours, prerequisites, certificate ↗

What we verified: Official page lists courses, hours and prerequisites; enrollment wording and FAQ conflict on free access, so recorded as paid.

Fees and eligibility can change. Confirm current terms with the issuer before you pay.

Also listed for: AI for Financial Advisers and Investment Analysts