Breadcrumb
  1. Training
  2. Education & Training Catalog
  3. Tonex, Inc.
  4. Financial AI and Predictive Innovation Models Masterclass

Financial AI and Predictive Innovation Models Masterclass

"Financial AI and Predictive Innovation Models Masterclass" trains professionals to leverage AI for predictive financial modeling and strategic innovation. Learn about risk management, investment strategies, and forecasting. Strong cybersecurity practices are crucial to defend AI-driven financial systems from cyber fraud, data theft, and algorithmic manipulation, ensuring trust and operational continuity.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
T101
Course Prerequisites

None

Training Purpose
Functional Development
Management Development
Specific Audience
All
Delivery Method
Online, Instructor-Led
  • Online, Instructor-Led

Learning Objectives

  • Understand the application of AI in financial modeling and prediction.
  • Learn how AI is driving innovation in financial services and risk management.
  • Master techniques for developing and deploying AI-powered financial models.
  • Develop strategies for responsible and ethical use of AI in finance.
  • Recognize the significant cybersecurity risks associated with AI-driven financial systems and the need for advanced protection.

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

Last Published Date: