Govern AI Before It Governs You
A structured, practical program for business leaders and risk professionals who need to identify, assess, and control AI risk — without a computer science degree required.
My goal is simple: by the end of this, you should be able to walk into any AI governance conversation in your organization and lead it with confidence.— Freddy Foster
What you'll learn
What you'll be able to do
- Identify and classify the major categories of AI risk — from bias and hallucination to security and regulatory exposure
- Build and apply a structured AI risk assessment framework tailored to your organization's size and sector
- Design governance policies and internal controls that keep AI deployments compliant and accountable
- Evaluate third-party AI vendors and tools using a repeatable due-diligence checklist
- Communicate AI risk clearly to executive stakeholders and boards using evidence-based reporting
- Develop an organization-wide AI risk monitoring plan that evolves alongside rapidly changing regulation
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 24 lessons
The AI Risk Landscape
Establishes a shared vocabulary and taxonomy of AI risks so leaders can recognize and classify threats before assessing them.
- 1.1Why AI Risk Is DifferentIncluded
- 1.2The Major Categories of AI RiskIncluded
- 1.3Mapping Risk to Your AI Use CasesIncluded
- 1.4The Evolving Regulatory EnvironmentIncluded
Building an AI Risk Assessment Framework
Guides learners through designing and applying a repeatable, organization-specific risk assessment process.
- 2.1Risk Assessment Fundamentals for AIIncluded
- 2.2Tailoring the Framework to Your OrganizationIncluded
- 2.3Running a Risk Assessment: Step by StepIncluded
- 2.4Prioritizing and Scoring RisksIncluded
Governance Policies and Internal Controls
Equips learners to design the governance structures, policies, and controls that keep AI deployments accountable and compliant.
- 3.1AI Governance FundamentalsIncluded
- 3.2Designing an AI Acceptable Use PolicyIncluded
- 3.3Internal Controls for AI SystemsIncluded
- 3.4Roles, Accountability, and Escalation PathsIncluded
Third-Party AI Vendor Due Diligence
Provides a repeatable checklist-based approach for evaluating the risks embedded in external AI tools and vendor relationships.
- 4.1Why Vendor Risk Requires Special Attention in AIIncluded
- 4.2The AI Vendor Due-Diligence ChecklistIncluded
- 4.3Evaluating Vendor Documentation and Model CardsIncluded
- 4.4Negotiating Contracts and SLAs for AI RiskIncluded
Communicating AI Risk to Stakeholders
Builds the skills to translate complex AI risk findings into clear, evidence-based reports for executives and boards.
- 5.1Understanding Your Executive AudienceIncluded
- 5.2Structuring an AI Risk ReportIncluded
- 5.3Visualizing AI Risk for Non-Technical AudiencesIncluded
- 5.4Presenting Risk and Fielding QuestionsIncluded
Ongoing AI Risk Monitoring and Adaptation
Helps learners build a living, organization-wide monitoring plan that keeps pace with changing AI capabilities and regulation.
- 6.1Designing an AI Risk Monitoring PlanIncluded
- 6.2Key Metrics and Early-Warning IndicatorsIncluded
- 6.3Incident Response for AI FailuresIncluded
- 6.4Keeping Your Framework Current as Regulation EvolvesIncluded
Who it's for
Is this you?
Chief Risk Officers
You need a defensible, enterprise-grade AI risk framework before the next board presentation — this gives you the structure and the language.
Compliance Officers
With AI regulation evolving rapidly, you need a monitoring system and governance policies that can keep pace — this course builds both.
Product Managers
You're shipping AI-powered features and need to evaluate risk, design controls, and communicate accountability without slowing down your team.
Operations Leaders
You're integrating AI into core business processes and need a structured way to assess what can go wrong — and a plan when it does.
Procurement & Legal Teams
You're reviewing AI vendor contracts and model cards and need a rigorous due-diligence checklist that holds up under scrutiny.
Executives & Board Members
You're approving AI strategy at the top level and need to ask the right questions, read risk reports clearly, and govern with confidence.
Questions
Frequently asked
Your teacher
A note from your teacher
Freddy Foster
If you're reading this, you're probably already carrying the weight of AI risk decisions in your organization — even if no one has formally handed you that responsibility yet.
Maybe you've approved an AI tool because it seemed useful, but you're not entirely sure what safeguards are in place. Maybe your board is asking questions about AI governance and you're piecing together answers from white papers and news articles. Maybe you're a compliance officer who knows the regulatory environment is shifting fast and you need a framework — a real one — before the next audit cycle.
You don't need to become a data scientist to manage AI risk well. What you need is a structured way to think about it, a repeatable process to assess it, and the language to communicate it clearly to the people who need to act on it. That's exactly what I built this program to deliver.
Every section of this course is grounded in how risk actually works in organizations — not in idealized lab conditions. We cover the full spectrum of AI risk categories, from bias and hallucination to security exposure and third-party model risk, and we connect each one directly to the decisions you're making right now. The frameworks are designed to be tailored, not templated — because a mid-sized healthcare provider and a global financial institution face very different risk profiles, and a one-size-fits-all checklist won't serve either of them.
The hardest part of AI governance isn't understanding the risks. It's building the internal structures — policies, controls, accountability paths, monitoring systems — that make responsible AI deployment sustainable over time. That's where most organizations are struggling, and that's where this course spends the most time.
I want you to finish this program and walk back into your organization ready to lead. Ready to run a risk assessment, challenge a vendor's model card, brief your board, and build a monitoring plan that won't be obsolete in six months. That's the outcome I've designed every lesson around. Come build it with me.
— Freddy Foster
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- 6 modules, 24 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed