Professional Certificate in AI Ethics & Governance

A general AI assistant — Claude, ChatGPT, or Gemini — covers every exercise in the program. There is no required paid governance platform. The real toolkit is the frameworks and templates: risk tiers, impact-assessment formats, model cards, risk registers, vendor questionnaires, and incident runbooks, all of which are free and public. For any exercise that touches confidential organizational data, you'd use a business plan with a data agreement — the same standard your own vendor assessments will demand, and Module 6 explains exactly why. You can complete the whole certificate, capstone included, with a general assistant.

No — it's built for the people asked to make AI governance real inside an organization: compliance officers, risk managers, legal and policy staff, product owners, and L&D leaders standing up AI policy. There's no coding and no legal training required. Everything runs through the chat interfaces you already use, and every framework is taught from an operator's perspective: what it requires, how to apply it to a real system, and where governance fails in practice. The prerequisites (AI Fundamentals plus two responsible-AI intro courses) give you the floor, and Module 0's self-assessment tells you honestly where you stand.

The core skills are jurisdiction-neutral — writing a policy people follow, running a bias audit that produces evidence, assessing a vendor on proof, and standing up incident response work anywhere. The regulation module teaches the EU AI Act, NIST AI RMF (US), and ISO 42001 (international) as the three reference frameworks most of the world is converging toward, and it teaches you to map any system across them. Where a specific law is named (NYC Local Law 144, the Colorado AI Act, the EU AI Act's August 2026 deadline), it's taught as a worked example of a pattern you can apply to your own jurisdiction. If you govern AI anywhere, these skills apply.

No — governance is the one function AI structurally cannot own, and that's the spine of this whole certificate. AI can draft a policy, summarize a regulation, and flag a risk, but accountability is non-delegable: a human has to own every governance decision, every sign-off, and every disclosure, because someone must be answerable when the system causes harm. The market agrees — AI governance roles command a documented salary premium and are among the fastest-growing in the enterprise, precisely because the human-accountability layer becomes more valuable, not less, as AI use scales. This certificate trains you to be that accountable operator.

Three short courses: AI Fundamentals (so you can actually use the tools you'll govern), AI Ethics in Practice (the responsible-AI foundations), and AI for Compliance & Governance (the basic framework vocabulary). They give you the floor this program builds on. Module 0 includes a five-minute self-assessment that tells you exactly where you stand — if you're already fluent, you may be able to move straight into Module 1, and if there's a gap, it points you to the right course to warm up with first.

Concrete, portfolio-quality work: a stakeholder-harm map for a real AI system; a decision-tree AI-use policy with acceptable-use tiers, tested against real scenarios; a bias-audit protocol that produces a defensible evidence file; a cross-framework map (EU AI Act tier + NIST functions + ISO controls) for one system; a completed AI impact assessment with a living risk register; a vendor-assessment questionnaire that demands evidence; and an AI incident runbook with a governance operating model. Then the capstone hands you a fresh, messy organization — Meridian Health — to build a complete AI governance program for, self-scored against a professional rubric. You finish with an operating governance practice and artifacts you can use the next day.

About 3 weeks at a steady pace — roughly 24 hours total, split between the lessons and the hands-on work. It's fully self-paced. Two cumulative reviews (after Modules 3 and 6) consolidate what you've built before the final stretch, and the capstone rewards learners who take their time with it rather than rushing.

The certificate carries a verifiable credential ID for your professional profile. More practically, it's built to the shape of what organizations increasingly need — someone who can operationalize AI governance rather than just describe it. In a market where 90% of organizations deploy AI but under a third can actually run governance, the ability to walk an employer through your AI-use policy, your bias-audit evidence, your vendor assessment, and your incident runbook is a stronger signal than any certificate line. You graduate with artifacts that prove the skill, not just a claim of it.

No. There's no coding, no statistics beyond reading a fairness rate, and no assumption that you know how a model works internally. The bias-testing module, for example, teaches you to design a test and read its evidence — not to write the code that runs it. Everything is taught from the perspective of the person who has to make and defend the governance decision, which is a judgment-and-process skill, not an engineering one. If you can use a chat interface and think clearly about who a system affects, you can do this program.

You'll use a general AI assistant (Claude, ChatGPT, or Gemini) as your governance workbench throughout — for drafting policies, running bias-test scenarios, generating impact assessments, and building questionnaires and runbooks. On the frameworks: the EU AI Act, NIST AI RMF, and ISO 42001 are taught strictly as working frameworks for awareness and practice — how to risk-tier a system, run the functions, and map requirements. This is not legal advice, and the program is explicit that for a binding compliance determination you involve qualified counsel. The goal is to make you a fluent operator of the frameworks who knows exactly where the line to legal advice sits.

The prerequisite courses give you awareness — what AI ethics is, what the frameworks are called, how AI shows up in compliance. This certificate turns that awareness into an operating practice: you don't learn that bias exists, you run an audit that produces evidence; you don't learn that policies matter, you write one people follow; you don't learn that vendors carry risk, you assess one on proof. It's the difference between knowing the vocabulary of AI governance and being the person an organization trusts to actually run it.

This takes you to a complete practitioner-level AI governance practice. To go deeper, the pathway continues toward a Master Certification in AI Ethics & Governance — governance strategy at the enterprise scale, agentic-AI governance, regulatory strategy across jurisdictions, and the frontier ethical questions. Specialized electives (AI bias auditing, AI risk management, AI policy and regulation) let you go wider. Module 0 shows the full map from foundations to mastery, and the capstone's final lesson marks exactly where you stand and every next step — including applying your Meridian Health program to your own organization.