Generative AI (GAI) Risk Management Course

  Get Trained as a Generative AI (GAI) (GenAI) Risk Management Professional 

What is GAI? 

“Class of AI models that emulate the structure and characteristics of input data in order to generate derived synthetic content. This can include images, videos, audio, text, and other digital content.” 

“An AI model that is trained on broad data; generally uses self-supervision; contains at least tens of billions of parameters; is applicable across a wide range of contexts.” 

Source: EO 14110

Gain expertise in applying the AI RMF Generative AI Profile (NIST AI 600-1), a guidance to help your organization identify unique risks posed by generative AI and actions for generative AI risk management that best aligns with your organization’s goals and priorities.  

AI is the new GOLD! 

gen ai risk management artificial intelligence risk management ia cyber security training.

1. Develop GAI Risk Management Knowledge. 

2. Develop GAI Risk Management Skills. 

3. Promote AI Risk Management Framework Adoption. 

4. Enhance Previous NIST RMF knowledge.

Upon Completion of this Training, 

Participants will:

1. Be equipped with knowledge, skills and will be ready to use templates required to manage GAI security risk. 

2. Be able to create and maintain documentation for GAI compliance and risk management processes. 

3. Be able to conduct GAI risk assessments and implement effective risk management strategies.

4. Be able to demonstrate a solid understanding of current developments regarding GAI risks, and be able to discuss and explain these developments to users and stakeholders.

5. Be more marketability Risk Management Professionals. 

Who Should Attend?

Course open to any Representative AI actors across the AI lifecycle involved in risk management.

End-Users

AI designers

Product managers

Compliance experts

Auditors

Governance experts

Organizational management

C-Suite executives

AI evaluators

Socio-cultural analysts

Human factors experts

Systems integrators

Procurement experts

Third-party suppliers

System funders

Product managers

Etc.

   Overall Proficiency Level

Proficient and Expert

Course Prerequisites

Cybersecurity knowledge

Course Curriculum 

Detailed curriculum provided after sign-up. An AI Textbook is provided as part of the course material.

Curriculum is built on Task, Knowledge, and Skill statements from NIST Special Publication 800-181

Revision 1

Delivery Method

In Person Classroom or

Online, Instructor-Led

Duration  

40 Hours

Assessment Methods

End of chapter quizzes, end of course exam, project-based learning and project presentations, participant feedback and surveys to help improve course.

Course Locations

2213 Turleygreen Place

Upper Marlboro, MD 20774

2451 Foxy Dr

Bethlehem, GA 30620

NICE Framework 

Work Role Categories

Oversight and Governance

Protect and Defense (PD)

Competency Areas

Artificial Intelligence (AI) Security

Operational Technology (OT) Security

Work Roles

Privacy Compliance

Cybersecurity Policy and Planning

Executive Cybersecurity Leadership