Find courses that describe risk analysis or scenario work. A useful exercise should make assumptions visible and help you challenge a proposed risk response.
Select ML approaches and risk tools, integrate risk analysis into projects and compare no-code/Python options; ChatGPT risk communication is one topic.
Managing AI Projects That Ship and Scale (Coursera listing; institutional attribution unresolved)
15 courses across scope, milestones, risks, business cases, governance, MLOps/deployment/QA, data governance, financial modeling, acceptance tests and communications.
The page describes AI-assisted project planning/execution/monitoring/control across scope, schedule, cost and quality, hybrid methods and Copilot/ChatGPT/Gemini. Separate modules cover AI-project ethics/security, project risk, PMO/VMO, agile with AI and AI/ML foundations.
A three-day PM fundamentals course explicitly says it includes effective AI use through all PMBOK-aligned processes. Its seven lessons attach AI-tool tasks to project initiation (charter/business case, scope, stakeholders/kickoff), planning (WBS/resources/schedule/risk plan), activity/cost/schedule development, risk analysis/response/scenario planning, execution (task reminders/risk mitigation/resources/communications), monitoring/control (scope creep, PMIS, quality metrics) and closure (lessons learned, agendas/minutes, communications record and closeout checklist).
AI from initiation/charter and scope/WBS through schedule/resources, risk/issues, stakeholders, reporting, controls, lessons learned, portfolio insight and responsible-use protocol.