Build Credible AI Governance Capability in 90 Days
Translate your existing experience, complete practical governance work, and create portfolio evidence for your next career move.
Enroll as one of the first 25 founding members of the AI Governance Career Transition Program.
One-time payment • Self-paced • 14-day satisfaction guarantee
Created by experienced cybersecurity, AI governance, and executive leadership practitioners.
AI System Inventory
Risk Assessment
Committee Charter
Executive Roadmap
Sample Portfolio Artifact Set
You're Not Starting Over. You Need The AI Governance Layer.
What You Already Know
- Risk frameworks & methodologies
- Controls design & assessment
- Governance structures & reporting
- Regulatory compliance
- Stakeholder communication
- Audit & assurance practices
What You Need To Add
- AI system lifecycle & components
- AI-specific risk categories
- AI regulatory landscape
- Model governance & oversight
- AI ethics & fairness frameworks
- AI vendor due diligence
What Employers Need To See
- Governance work products
- Applied case studies
- Risk assessment documentation
- Policy development samples
- Career positioning evidence
- Domain-specific communication
This program helps you connect all three.
Complete the program with evidence of what you can do
Understand The Field
Build working knowledge of AI governance concepts, frameworks, and the regulatory landscape relevant to your transition.
Perform The Work
Practice applied tasks—risk assessments, policy development, vendor reviews—that define AI governance roles.
Build Portfolio Evidence
Create a set of governance artifacts that demonstrate your capability to prospective employers and hiring teams.
Position Your Experience
Translate your existing skills into AI governance language and build a targeted career campaign.
Your experience is valuable. The challenge is translating it into AI governance capability.
Organizations are adding governance responsibilities as AI adoption expands. Experienced security, risk, privacy, compliance, and audit professionals already understand many of the disciplines that effective AI governance requires.
The missing pieces are AI-specific knowledge, practical governance experience, portfolio evidence, and a clear way to position existing expertise for relevant opportunities.
That is the gap this program is designed to address.
Create an AI governance portfolio you can discuss with confidence
12 portfolio artifacts organized across three phases of governance maturity.
Discover & Classify
AI System Inventory
Sample portfolio artifact
AI Intake Process
Sample portfolio artifact
Risk Classification Model
Sample portfolio artifact
Assess & Govern
Risk Assessment
Sample portfolio artifact
Risk Register
Sample portfolio artifact
Governance Policy
Sample portfolio artifact
Vendor Review
Sample portfolio artifact
Operate & Communicate
Committee Charter
Sample portfolio artifact
RACI Matrix
Sample portfolio artifact
Incident Procedure
Sample portfolio artifact
Executive Roadmap
Sample portfolio artifact
Portfolio Case Study
Sample portfolio artifact
Portfolio assignments use a fictional business scenario (Northstar SaaS) and are intended to demonstrate the participant's analysis, decision-making, documentation, and communication skills.
A career-transition program built around practical work
Module 1: Translate Your Experience
Weeks 1–4AI Governance Career Landscape
Map the AI governance opportunity and understand where you fit.
AI Systems and Lifecycle Fundamentals
Build technical literacy without needing to code.
Frameworks, Regulation, and Obligations
Understand the regulatory landscape driving demand.
Transferable Skills and Career Gap Analysis
Identify your existing strengths and what to develop.
Deliverable: Personal AI Governance Career Transition Map
Module 2: Practice The Work
Weeks 5–8AI Intake, Inventory, and Ownership
Learn how organizations discover and catalog AI systems.
AI Risk Classification and Assessment
Assess risk across the AI lifecycle.
Policies, Controls, and Governance Workflows
Build the operational governance infrastructure.
Vendor Governance and Operating Models
Evaluate and govern third-party AI solutions.
Deliverable: Operational AI Governance Artifact Set
Module 3: Prove & Position
Weeks 9–12Build the Portfolio Case Study
Synthesize your work into a compelling narrative.
Executive Communication
Learn to present governance to leadership.
Resume, LinkedIn, and Interview Positioning
Translate your experience for AI governance roles.
Targeted Career Campaign and First 90 Days
Launch your AI governance career campaign.
Deliverable: Completed Portfolio Case Study and Career Campaign
Everything included in founding member enrollment
Complete self-paced 90-day curriculum
Twelve structured weekly modules
Fictional enterprise governance scenario
Editable AI governance templates
Sample artifact guidance
Portfolio case-study instructions
Career gap-analysis workbook
AI governance role map
Resume translation workbook
LinkedIn positioning guide
Interview-preparation question bank
Executive presentation template
Career-campaign planning workbook
Lifetime access to the purchased core curriculum
Lifetime access to the AI Governance Career Lab community
12 months of curriculum updates and program improvements
Founding-member designation
Please note: The founding program is self-paced. Individual coaching, personal resume writing, guaranteed portfolio grading, job placement, and guaranteed live sessions are not included.
Is this the right fit?
Strong Fit
- You have 3+ years in cybersecurity, GRC, privacy, compliance, audit, or technology risk
- You are willing to complete structured assignments, not just watch content
- You want to build portfolio evidence, not collect another credential
- You are ready to invest focused effort over 90 days
- You understand career transitions require active work
Not The Right Fit
- You expect the program to guarantee employment or promotion
- You are looking only for certification exam preparation
- You want individual coaching or personalized resume writing
- You have no background in risk, security, compliance, or governance
- You prefer passive learning without completing assignments
Learn from leaders who understand security, governance, and career transition.
AI Governance Career Lab is built around practical experience in cybersecurity, enterprise risk, governance, responsible AI, executive leadership, and professional development.
Adam DiStefano
Program Creator and Lead Instructor
Adam DiStefano is a cybersecurity and AI governance executive with more than a decade of experience across security operations, cloud and product security, vulnerability management, governance, risk, compliance, executive communication, and AI-related security and governance programs. He created AI Governance Career Lab to help experienced cybersecurity, GRC, privacy, compliance, audit, and risk professionals translate the expertise they already have into practical AI governance capability.
Greg Crowley
AI Governance and Security Advisor
Greg Crowley is a board-level Chief Information Security Officer with more than 20 years of experience in enterprise cybersecurity, risk management, and strategic security leadership. He specializes in bridging the gap between technical security operations and business strategy, with deep expertise in AI governance, secure AI enablement, and cross-functional governance frameworks aligned with ISO 42001. Greg is the author of Secure AI Enablement: A CISO's Practical Guide to Governing AI at Scale and a recognized industry voice who has spoken at the Gartner Security & Risk Summit and contributed to leading cybersecurity publications.
Tia Hopkins
Career Strategy and Executive Leadership Advisor
Tia Hopkins is a cybersecurity executive, educator, and keynote speaker with more than 20 years of experience across IT infrastructure, cybersecurity strategy, and executive leadership. She is an adjunct professor of cybersecurity, is pursuing a PhD in Cybersecurity Leadership, and is the founder of Empow(H)er Cybersecurity, a nonprofit dedicated to inspiring women of color to pursue careers in the field. Tia is a published author and has been widely recognized across the industry for her contributions to security leadership and cyber resilience.
Advisor participation, responsibilities, and availability may vary by program phase. Individual coaching and direct advisor access are not included unless specifically stated.
Founding Member Enrollment
AI Governance Career Transition Program
One-time payment
Planned standard price: $997
- Complete 90-day self-paced curriculum
- 12 structured weekly modules
- Editable AI governance templates
- Portfolio case-study instructions
- Career positioning workbooks
- Lifetime access to the AI Governance Career Lab community
- 12 months of curriculum updates and program improvements
- Founding-member designation
Limited to the first 25 founding members
Founding enrollment is limited while the curriculum, onboarding process, assignments, and member experience are validated and refined.
No recurring subscription required
Access instructions are provided after purchase.
14-Day Satisfaction Guarantee
If the program is not what you expected, request a refund within 14 calendar days of purchase. See our refund policy for details.
AI Governance Career is an educational professional-development program. Enrollment does not guarantee employment, promotion, certification, compensation, or any other career outcome.
Frequently Asked Questions
Review program access, expectations, curriculum, licensing, and refund details.
Build the capability. Create the evidence. Position your experience.
Complete practical AI governance work, develop a professional portfolio case study, and follow a structured 90-day career-transition path.
Become a Founding Member • $497One-time payment • Self-paced • 14-day satisfaction guarantee