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Certified Responsible AI Analyst (CRAA)

The Certified Responsible AI Analyst (CRAA) program equips professionals with the knowledge and skills to implement AI responsibly, ensuring fairness, transparency, and ethical governance. CRAA focuses on the development, deployment, and monitoring of AI systems, helping organizations align with responsible AI practices.

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, Self-Paced
  • Online, Self-Paced

Learning Objectives

  • Understand foundational principles of responsible AI, including fairness, transparency, and ethical governance.
  • Develop skills to assess and mitigate bias in AI models and data.
  • Gain proficiency in implementing responsible AI policies within organizational frameworks.
  • Learn best practices for deploying AI systems that adhere to ethical and legal standards.
  • Monitor and evaluate AI systems to ensure ongoing alignment with responsible AI practices.
  • Analyze real-world case studies of responsible AI implementation and challenges.

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.

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