AI+ Finance Agent™

Core Concepts Covered: Learn AI fundamentals for finance, focusing on analytics, trading, risk, fraud, automation
Capstone Application: Build practical AI finance agents supporting trading, risk evaluation, fraud monitoring, and forecasting
Career Readiness: Gain expertise in AI-powered financial roles through mentorship, hands-on training, designing AI agents for finance innovation

At a Glance: Course + Exam Overview

Category	AI Professional
Program Name	AI+ Finance Agent™
Prerequisites	Basic Knowledge of Financial Markets: Understanding of stock markets, trading, and financial instruments. Familiarity with Machine Learning: Basic concepts and algorithms of machine learning. Programming Skills: Proficiency in Python or similar languages for coding. Statistical Analysis Understanding: Knowledge of data analysis and statistical methods. Interest in Financial Technology: Enthusiasm for applying AI to solve financial challenges.
Exam Format	50 questions, 70% passing, 90 minutes

Prerequisites

Basic Knowledge of Financial Markets: Understanding of stock markets, trading, and financial instruments.
Familiarity with Machine Learning: Basic concepts and algorithms of machine learning.
Programming Skills: Proficiency in Python or similar languages for coding.
Statistical Analysis Understanding: Knowledge of data analysis and statistical methods.
Interest in Financial Technology: Enthusiasm for applying AI to solve financial challenges.

Exam Details

90 minutes

70%

50 multiple-choice/multiple-response questions

At a Glance: Course + Exam Overview