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
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