AI Governance Intensive
Build your enterprise AI Governance program in 2.5 weeks.
Thirteen to fifteen instructor-led sessions. A complete governance toolkit you take back to your organization. Designed for the leaders who will be held accountable.
Why this course, why now
AI is no longer just a technology initiative. It shapes business decisions, customer experiences, workforce practices, operational processes, and organizational risk. Governing AI is not about governing algorithms alone. It is about governing the people, processes, decisions, and controls that determine how AI is adopted, deployed, and used across the enterprise.
Most AI governance resources fall into one of two categories. They are either highly technical and written for engineers, or highly conceptual and focused on ethics without explaining how to operationalize governance.
This course bridges that gap.
Designed for business, security, legal, privacy, risk, audit, and compliance leaders, AI Governance Intensive provides a practical framework for designing, implementing, and operating an enterprise AI governance program. Participants build governance artifacts throughout the course — including policies, workflows, risk assessments, decision frameworks, executive dashboards, and an AI Governance Playbook — that can be adapted for immediate use within their organizations.
By the end of the program, you will have the tools and confidence to commission AI governance, oversee cross-functional decision-making, manage AI risk, and provide executive leadership with clear, defensible governance practices.
Who this course is for
No technical or software engineering background is required. The course assumes business leadership experience and focuses on governance, oversight, risk management, and organizational decision-making rather than AI model development.
What you'll build
This is a hands-on, implementation-focused course. Every session produces practical governance artifacts that can be tailored to your organization's needs.
Executive-authorized mandate that establishes scope, roles, and decision rights for AI oversight.
Operating handbook for the governance function — the primary artifact you carry back to your organization.
Acceptable use, responsible AI, transparency, and human-oversight policies with tiered enforcement.
Structured risk identification, likelihood/impact scoring, and treatment decisions aligned to enterprise risk.
Use-case intake, review workflow, approval criteria, and exception handling for new AI initiatives.
Third-party AI due diligence, contractual controls, and continuous monitoring for AI suppliers.
Control mapping for model access, data handling, adversarial risk, and secure deployment.
Incident categories, response workflows, and communications for AI-specific events (drift, hallucination, misuse).
Metrics, KRIs, and narrative structure that keep the board informed without drowning them in detail.
Committee charter, cadence, decision authority, and cross-functional escalation paths.
Phased rollout plan, resourcing, funding requests, and dependencies for standing up the program.
Course structure
Foundations first. Then the operational disciplines that turn policy into practice. Then a half week of program-building, capstone simulation, and board defense.
What makes this course different
By the end, participants don't just understand the concepts. They leave with a practical governance toolkit adapted to their own organization. The focus is execution, governance operations, and leadership readiness — not conceptual awareness.
Investment
For $599, participants are not just learning AI governance. They are building a usable governance playbook they can take back to their organization.
Seats are limited each cohort. Tell us a bit about your role and we'll confirm your enrollment with cohort dates and payment instructions.