Your AI Governance Gap, Exposed in 60 Minutes
Join Nahid Farady, PhD (Principal Tech Lead, AI Security & Privacy · Microsoft) for a free live session.
Nahid Farady, PhD
Principal Tech Lead, AI Security & Privacy · Microsoft
⭐ 4.9 / 5
Your AI is live. Your governance program isn't.
Most engineering managers and GRC leads inherit AI systems in production with no governance program behind them. This course gives you the frameworks, decision tools, and documentation to build one — from policy design to incident response — in four weeks. Every deliverable is structured for legal review, board presentation, and immediate use in your organization.
What You'll Learn
AI System Inventory + Risk Classification Register
Map every AI system your org runs — provenance, data sources, dependencies, intended use, affected populations — classified by EU AI Act risk tier and NIST AI RMF impact category. The foundation every governance activity builds on.
Ship/Hold Decision Framework
A documented go/no-go framework for AI deployments — risk thresholds set, sign-offs mapped, and a decision record template your legal team can stand behind for every release.
Third-Party AI Risk Register
Vendor due diligence framework separating what your AI vendors own versus what deployer obligations stay with you — with contractual requirements and monitoring obligations your procurement team can operationalize.
AI Governance Program Package
AI incident response runbook covering hallucinations, bias events, data leakage, and model drift — escalation paths, communication templates, post-mortem format — plus a board-ready program summary with implementation roadmap.
Who Is This For?
This course is designed for:
Engineering Managers Owning AI Accountability
Who are being asked by legal, compliance, or their board to show a governance program exists — and don't have one yet.
GRC Professionals Extending into AI
Who own enterprise risk and compliance programs and need to extend their existing frameworks to cover AI-specific risks, regulations, and operational controls.
Technical PMs Shipping AI Features Without a Safety Net
Who are moving fast on AI product initiatives and know the governance layer is missing — before a compliance audit or incident forces the conversation.
Course Outline
4 weeks · 3 sessions per week
Projects You'll Ship
Leave with real work to show, not just a certificate.
AI System Inventory + Risk Classification Register
A complete map of your org's AI systems — model provenance, data sources, dependencies, intended use, and affected populations — classified by EU AI Act risk tier and NIST AI RMF impact category. Reusable every time a new AI system enters your environment.
AI Policy Package + Ship/Hold Decision Framework
Acceptable use policy, model oversight framework, and human review requirements aligned with EU AI Act deployer obligations and NIST AI RMF. Includes a ship/hold decision template with documented risk thresholds and sign-off requirements — structured for legal review and board presentation.
Complete AI Governance Program Package
Board-ready governance program combining an AI incident response runbook, third-party vendor risk register, and complete program summary with implementation roadmap and review cadence. Aligned to NIST AI RMF, EU AI Act, and ISO 42001 — immediately deployable in your organization.
Your Instructors
Nahid Farady, PhD
Principal Tech Lead, AI Security & Privacy · Microsoft
⭐ 4.9 / 5
Nahid leads AI security, privacy, and responsible AI engineering at Microsoft Copilot, with prior roles at Google Cloud and Capital One CyberML. She holds a PhD from Virginia Tech and brings 10+ years of applied experience in cybersecurity, threat modeling, and ML deployment at scale. She also teaches AI and security as adjunct faculty at UC Berkeley.
What Students Say
⭐⭐⭐⭐⭐
"The ship/hold decision framework from Week 2 is now mandatory before any AI feature goes to production. It's saved us from two launches we would have regretted."
Jordan Smith
Technical PM · Notion
⭐⭐⭐⭐⭐
"Week 4's incident simulation was the most valuable thing I did all year. We ran a real bias event scenario and found three gaps in our escalation process before it happened for real."
Aisha Patel
Security Architect · Cloudflare
⭐⭐⭐⭐⭐
"I came in with zero governance documentation. I left with a complete program package I presented to our board six weeks later."
Marcus Lee
Engineering Manager · Rippling
Course Schedule
All sessions are instructor-led and live. Recordings available within 24 hours.
SUNDAY
9:00 AM PDT
Live ClassFrameworks, policy design, and incident response — applied to real AI systems.
WEDNESDAY
6:00 PM PDT
Lab SessionHands-on drafting and simulation exercises on your own systems.
THURSDAY
6:00 PM PDT
Build & ShipFinalize weekly deliverables with peer review and instructor feedback.
Frequently Asked Questions
Related reading
The JD-backed research behind this course — from Dexity Intel.
AI Governance in 2026: How to Govern the AI You Ship →How far do you want to go?
Start free to experience our offering, choose the program length you would want to commit to.
You build. Nobody demos at you.
Every session is follow-along — you build the thing yourself while a practitioner works beside you. That is why the hours look long: they are yours to build in, with an expert on hand to guide you. None of it is a traditional lecture.
In the session, you'll: