AI Governance and Risk Engineering
Faiz Ahmad, PHD
CEO @ 1% AI Fund | Governance Researcher
Build, audit, and defend an AI governance program in one live session
Use code "Governance" for 50% off before May 5.
The Career Window That's Closing Fast
You have heard AI governance is coming. You have nodded along in meetings about it. You have not done anything about it yet.
Not because you do not care. Because nobody showed you what doing governance actually looks like. Not in a policy document. In a pipeline. On a real system.
So you wait. The EU AI Act takes effect. NIST AI RMF shows up in procurement contracts. A customer asks for your AI documentation and you send them an ethics statement from 2022.
340,000 governance roles are being created. The people filling them work at the intersection of regulation, risk, and production engineering.
That intersection is almost empty. And it is where the leverage is.
This workshop does not teach about governance. It makes you do it. On your own system. With your own data.
You generate a case study before the session. I demo on a hospital triage AI with real failures. You follow along on yours.
You leave with 5 artifacts:
Regulatory exposure summary
Quantitative risk assessment
Rewritten model card section
3 governance controls
30-day action plan For your system. Usable Monday.
Workshop agenda
- 10:00AM EDT
Connect Before We Start
Meet your cohort and instructor. Confirm your case study is ready. Quick poll: what governance challenge brought you here today?
- 10:20AM EDT
Module 1: Know What's Actually Enforceable
Regulatory convergence across EU AI Act, NIST AI RMF, state laws, and enterprise requirements. I classify MedScreen live. You classify your system. You leave with a regulatory exposure summary.
- 11:00AM EDT
Module 2: Risk Assessment with Real Evidence
5 risk dimensions and risk matrix. I show MedScreen's fairness and drift evidence. You score MedScreen, then score yours using your case study. You leave with a risk assessment.
- 11:30AM EDT
Module 3: The Skill That Gets You Hired: Quantifying AI Risk
Fairness metrics, drift detection, model card scoring. I score MedScreen's card (7/18) and rewrite two sections live. You score yours and rewrite the weakest. Audit-ready output.
- 12:15PM EDT
Title: Break
15 minutes. Stretch, grab coffee, review your case study notes for the second half.
- 12:30PM EDT
Module 4: Where Governance Plugs into Production
Pipeline controls and three-layer architecture. I design 3 controls for MedScreen: fairness gate, drift monitor, incident response. You design 3 for yours with metrics and owners.
- 1:15PM EDT
Module 5: Build Your 30-Day Action Plan
Everything converges. Risk register, stakeholder map, gap analysis, three prioritized actions with owners, deadlines, and success criteria. You leave with a plan you can execute this week.
- 1:45PM EDT
Closing and Q&A
Review the 5 artifacts you built today. Regulatory gray areas, career positioning, organizational resistance, technical implementation.
Learn directly from Faiz
Faiz Ahmad, PHD
PhD, Penn State. AI safety research + production AI systems. 250+ trained.
Who this workshop is for
Engineers and ML practitioners who build AI systems and know regulation is coming but have not prepared. Act before it becomes an emergency.
Compliance and risk professionals being asked to audit AI systems they have never built. You need technical fluency to do this job credibly.
Aspiring AI governance professionals who see 340,000 new roles but have no portfolio. Build 5 artifacts you can show in your next interview.
What's included
Live sessions
Learn directly from Faiz Ahmad, PHD in a real-time, interactive format.
Your Own AI Governance Case Study
Before the workshop, you generate a case study for your AI system using a prompt we provide. Fairness data, drift patterns, pipeline gaps, model card assessment. Your raw material for every exercise.
5 Governance Artifacts Built for Your System
Regulatory exposure summary, quantitative risk assessment, rewritten model card section, 3 governance control specifications, and a 30-day action plan. Built during the session. Usable Monday.
Certificate of completion
A shareable credential recognizing your completion of AI Governance & Risk Engineering with Faiz Ahmad, PhD.
Participant Workbook
11 reference frameworks, 5 reusable templates, quick-reference cards, and the MedScreen master case study with evidence packets. Yours to keep and reuse across every AI system you govern.
Risk Assessment Toolkit
Auto-calculating Excel spreadsheet, interactive risk classification decision tree, and a model card comparison showing exactly what audit-ready looks like versus what fails.
Full Workshop Recording
annot make it live or want to revisit a module? Full replay access so you can rewatch exercises, review frameworks, and refine your artifacts.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Frequently asked questions
$400
USD