Prepare yourself for the Artificial Intelligence (AI) Standards and Risk Management Frameworks (RMF) course

The Artificial Intelligence (AI) Standards and Risk Management Frameworks (RMF) Course equips professionals with the essential knowledge and strategic insight to apply global AI governance and compliance frameworks. As AI adoption accelerates across industries, understanding standards and risk management principles is vital to ensure that AI systems are ethical, transparent, secure, and trustworthy.

This course introduces the most critical ISO/IEC AI standards and provides an in-depth exploration of the NIST AI Risk Management Framework (RMF), including its core functions—Govern, Map, Measure, and Manage. Participants will learn how these frameworks mitigate risks associated with Artificial Intelligence and Generative AI (GAI), addressing challenges such as bias, privacy, explainability, and system robustness.

By the end of the course, professionals will be able to apply recognized standards and frameworks to guide AI implementation responsibly, ensuring alignment with international best practices for trust, safety, and compliance.

Custom Training Solutions

Design tailored learning programs to meet your organization’s unique goals and challenges.

Key Learning Outcomes and Objectives?

By completing this course, participants will gain the ability to align AI initiatives with globally recognized standards and frameworks. You will learn to:

  • Understand and apply the most critical ISO/IEC AI standards governing AI design and deployment
  • Identify and evaluate AI and Generative AI risks, including bias, reliability, and explainability
  • Implement the NIST AI RMF across its four functional pillars—Govern, Map, Measure, and Manage
  • Develop strategies to ensure trustworthy, ethical, and transparent AI practices
  • Assess compliance with international and national AI regulatory frameworks
  • Integrate risk management methodologies into organizational AI policies and procedures
  • Lead the adoption of responsible AI frameworks that balance innovation with accountability

The AI Academy Learning Approach

This course delivers a structured and engaging learning experience through expert-led sessions, interactive discussions, and practical exercises. Participants will analyze case studies of global AI implementations and engage in hands-on workshops applying ISO/IEC standards and the NIST AI RMF to real-world scenarios.

Facilitators combine theoretical insight with practical application, ensuring that learners not only understand the frameworks but also know how to apply them effectively within their organizations. The AI Academy approach empowers participants to lead responsible AI governance initiatives, ensuring systems are safe, secure, and compliant throughout their lifecycle.

Course Outline Summary

  • Introduction to ISO/IEC fundamental AI standards and key frameworks
  • Overview of AI concepts, terminology, and life cycle management
  • Data quality, bias, and decision-making in AI systems
  • Specialized ISO/IEC standards for AI control, safety, and robustness
  • Risk management and testing guidelines for AI-based systems
  • Understanding AI Risk Management Framework (AI RMF) principles
  • Building trustworthy AI systems through accountability and transparency
  • Application of NIST AI RMF core functions – Govern, Map, Measure, Manage
  • Exploring AI RMF profiles and their organizational implementation
  • Managing Generative AI risks and applying NIST GAI Profile best practices

Is This Course Right for You?

This AI Standards and Risk Management Frameworks Course is designed for leaders, technical experts, and policymakers involved in developing, deploying, or governing AI systems. It is especially beneficial for compliance officers, project managers, data scientists, AI engineers, and government professionals responsible for regulatory oversight.

Participants will gain practical understanding of how to apply ISO/IEC standards in real-world contexts and how to operationalize the NIST AI RMF to manage risk across the AI lifecycle. Whether your goal is to strengthen governance, build trust in AI systems, or ensure regulatory alignment, this course provides the global perspective and practical tools you need.

Certificate

  • AIcademy Certificate of Completion for delegates who attend and complete the training course
NASBA

Frequently Asked Questions

  • Online: Select the course you want to register for, Click the “REGISTER” button in the course outline, complete the form and click submit.
  • E-mail: Send your details to info@aicert.com
  • Telephone: Please call +971 4 787 8174 to provisionally reserve your place.