NIST AI RMF 1.0 Architect Training (60 Days)
Description
Terms of Service: Unlimited online utilization of this course is provided for a single user for 60 days in duration from the time of purchase according to the terms of Certified Information Security's End-User License Agreement. The subscription expires 60 days after purchase. Subscription time is not banked, and cannot be "frozen", deferred, or re-scheduled. As this is a subscription-based course, no permanent download of course materials is provided. |
Learn NIST Artificial Intelligence Risk Management,
and how to leverage the NIST AI RMF 1.0
to manage AI systems and components risk.
NIST AI RMF 1.0 Architect is the AI risk management credential supporting a career in the responsible design, development, deployment, use, and evaluation of AI products, services, and systems. This certification validates competence and understanding for developing and managing AI risk-management based upon the NIST Artificial Intelligence Risk Management Framework 1.0. The NIST AI risk management framework training is intended to be practical, adapting to the AI landscape as AI technologies continue to develop. The AI RMF is intended to be utilized by organizations in varying degrees and capacities so society can benefit from AI, while also being protected from its potential risks. |
This course fulfils the training requirement for NIST AI RMF 1.0 Architect certification eligibility. Upon successful course completion, a signed and dated certificate for 40 hours of CPE credit is issued to your name. |
What you'll get with this training
NIST AI RMF expert Allen Keele presents 743 slides of video-narrated content providing thorough coverage of NIST AI RMF 1.0. Understand the NIST AI RMF's four Core Functions, 19 Categories, 76 Subcategory desired outcomes (objectives), and its 460 recommended implementation actions (tasks).
NIST AI RMF 1.0 Taxonomy

- Introduction to AI risk management and related frameworks (90+ slides)
- Addresses how organizations can frame the risks related to AI and describes the intended audience. AI risks and trustworthiness are then analyzed, outlining the characteristics of trustworthy AI systems.
- Core Function 1: Governing AI risk management (140+ slides)
- Core Function 2: Mapping AI risks (140+ slides)
- Core Function 3: Assessing and measuring AI risks (200+ slides)
- Core Function 4: Managing AI risks (90+ slides)
The learning approach
Within each of the four Core Functions, each Function’s category is broken down into individual lessons explaining particular desired outcomes and objectives (subcategories), followed by NIST's recommended implementation actions ad relevant documentation considerations.
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