Outcome
What participants leave with
Clearer understanding, practical templates, and a path to apply the training in their own environment.
Course syllabus
AI Governance Training
Learn how to set up governance around AI use cases, model risk, approvals, monitoring, and policy controls.
What you will learn
This track is built to help professionals go from theory to implementation with structured modules and hands-on guidance.
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AI
Detailed syllabus
Hands-on practice
Focus 1Understand AI governance principles and responsibilities
Focus 2Create a practical AI review and approval workflow
Focus 3Identify model and data risks before production release
Detailed syllabus
Module-by-module coverage.
Use this syllabus as the roadmap for a training session, a private coaching call, or a team workshop.
- AI governance fundamentals and enterprise context
- Responsible AI principles and policy design
- AI use case intake and risk assessment
- Model inventory, approvals, and exception handling
- Data governance for AI: training, features, and inputs
- Compliance, legal, and ethical considerations
- Monitoring, drift, and control checkpoints
- Incident response and escalation for AI issues
- Governance dashboards and reporting
- Workshop: build an AI governance operating model
Format
Best delivery style
Use this track as a live session, a focused workshop, or an implementation coaching series.
Ready to book
Need this course tailored for your team?
Book a session and we can adapt the syllabus to your tools, current maturity, and business goals.