Operationalizing the NIST AI RMF: Building Enterprise AI Management Systems
Eric Dabols
Principal AI Strategist, ISO 42001 AIMS
This course is popular
3 people enrolled last week.
Turn the NIST AI RMF into scalable product infrastructure
Most enterprise AI initiatives stall in the pilot phase. As product leaders, we are frequently handed raw ML capabilities and expected to drive immediate business value. However, without a structured governance framework, moving from a localized proof-of-concept to a fully integrated production environment creates a massive bottleneck. You aren't just shipping features; you are managing complex regulatory exposure, cross-functional friction, and system interdependencies.
This course cuts through the theoretical noise. We will translate the static NIST AI RMF into a living, operational AI Management System (AIMS). I will share the blueprints and rigorous ISO/IEC 42001 certified protocols required to govern product velocity at an enterprise scale. These are the same frameworks utilized to safely migrate 158 legacy models to Vertex AI via a custom enterprise deep learning engine, ultimately delivering a +29% incremental lift.
You will leave this 1-day sprint with the operational templates to prioritize Strategy & Alignment, Discovery & Validation, and Responsible Usage Governance. We will shift your posture from reactive compliance to proactive execution.
What you’ll learn
Translate the NIST AI RMF into scalable AIMS. Shift from managing risky pilots to driving governed, enterprise-scale AI product velocity.
Transition from theoretical risk to actionable AIMS infrastructure across the Govern, Map, Measure, and Manage domains.
Learn the exact frameworks used to align agile product development with ISO/IEC 42001 standards, ensuring regulatory requirements.
Establish robust, data-centric foundations to assess system interdependencies and categorize AI risk before resources are committed.
Build the quantitative and qualitative measurement systems required to track model drift, social impacts, and performance lift at scale.
Learn directly from Eric
Eric Dabols
AI Product Leader driving governed, enterprise-scale ML infrastructure.
Who this course is for
Product Managers & AI Strategists: You own the roadmap and need to bridge raw ML capabilities with governed, enterprise-scale execution.
AI Data Specialists & ML Architects: You build the models but need robust AIMS infrastructure to safely deploy them into production.
AI Governance & Risk Leaders: You must translate static regulatory frameworks into agile protocols that accelerate product deployment.
What's included
Live sessions
Learn directly from Eric Dabols in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
May
15
Operationalizing the NIST AI RMF: Building Enterprise AI Management Systems
Kickoff: The Enterprise AI Bottleneck
Module 1: GOVERN (Strategy & Alignment)
Module 2: MAP (Discovery & Validation)
Peer Sync & Morning Q&A
Module 3: MEASURE (Quantitative Infrastructure)
Module 4: MANAGE (Responsible Usage Governance)
Closing: The Operational Handoff
Schedule
Live sessions
6 hrs
Fri, May 15
2:00 PM—8:00 PM (UTC)
Frequently asked questions
$1,250
USD