An Interactive 5-Day Training Course
Artificial Intelligence (AI) Standards and Risk Management Frameworks (RMF)
ISO/IEC AI Standards and NIST AI RMF
Course Overview
This training course on Artificial Intelligence Standards and Risk Management Frameworks (RMF) provides an in-depth overview of the key AI standards and the NIST AI RMF. As AI, including Generative AI (GAI), becomes increasingly embedded in various aspects of society, understanding the importance of AI standards and frameworks is essential for the responsible development and deployment of AI systems.
While AI delivers exceptional results efficiently and cost-effectively, businesses must remain vigilant about the associated risks. This includes adopting appropriate AI standards and lifecycle-based frameworks to mitigate those risks.
Participants in this training course will explore the essential AI standards and frameworks within the context of AI risks and the AI lifecycle. The training course offers a comprehensive examination of critical ISO/IEC AI standards alongside a detailed analysis of the NIST AI RMF, helping participants understand their practical applications.
Attendees will gain insights into the NIST AI RMF’s core components and profiles, along with suggested actions to address risks associated with GAI, including issues of trustworthiness. These tools are designed to tackle a wide range of risks and foster reliable, ethical AI practices.
This Saudi GLOMACS Artificial Intelligence (AI) Standards and Risk Management Frameworks (RMF) training course will highlight:
- Key ISO/IEC AI standards
- AI and GAI risk assessment
- Structure and application of the NIST AI RMF
- Strategies to mitigate GAI risks
- Interactive discussions on ISO/IEC standards and the NIST AI RMF
Training Outline
DAY 1 to DAY 5:
- Introduction to Course
- ISO/IEC 22989 - Artificial Intelligence concepts and terminology
- ISO/IEC 5338 - AI system life cycle management
- ISO/IEC 8200 - Controllability of automated AI systems
- ISO/IEC 24029 – AI - Assessment of the robustness of Neural Networks
- ISO/IEC 23894 – Guidance on risk management
- Framing Risk
- Valid and Reliable
- Safe
- Introduction to the Core
- Govern
- Map
- Risks Unique to or exacerbated by GAI
- Suggested Actions to Manage GAI Risks – Govern
- Suggested Actions to Manage GAI Risks – Map
Certificates
- On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
- Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation
GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.
All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.
About Saudi Glomacs
At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.
With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.
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