Compare training in privacy, security and responsible AI. Check that the curriculum connects principles to the decisions and information your team actually handles.
Eight modules move from safe daily AI use and capability vocabulary to use-case/value selection, prompting as specification, solution/data readiness/prototyping, running AI projects, economics/security/risk/governance and portfolio adoption/capstone.
Evaluate AI models and apply AI to planning, task management, risk tracking, reporting, scope, scheduling, meeting summaries and stakeholder communications; review bias, confidentiality and output fitness.
University of South Wales Professional Development
AI for project functions, core AI/LLM concepts, privacy and bias, process mapping across planning, PMO, risks, change, finance and benefits, prompt refinement, and responsible-use guidance.
Covers AI fundamentals and limits, project process automation, planning/tracking/reporting, AI-agent workflow design, project insights and performance, governance, ethics, risk, change and adoption roadmaps.
Day one covers lifecycle use cases, scope/schedule/WBS support, resource/cost/scenario analysis and risk identification/mitigation. Day two covers progress analysis and early-warning indicators, executive dashboards/status narratives, stakeholder/meeting workflows, governance, confidentiality and an implementation plan.
The 17-module published syllabus ranges from AI foundations and PMO maturity through planning/scheduling, resource/capacity, predictive risks, cost/budget, quality, governance/reporting, portfolio scenarios, stakeholder engagement, workflow automation, data governance, tool integration, PMO change and responsible AI.
The reference syllabus covers AI PM tools and governance, PM-specific prompting, business cases and charters, WBS/schedule/resources, risk scoring and Monte Carlo scenarios, Agile work, communications/reporting, monitoring/change control, cost forecasting, PMO tools, responsible use, lessons learned and scaling.
Apply AI to planning, status/RAID, meeting intelligence, stakeholder and executive communication, workflow automation and decision support; broader PM training covers governance, risk and reporting.
A one-day AI and Copilot course with guided demonstrations across Microsoft 365 and a team challenge to solve a real workplace productivity problem; privacy and responsible use are included.
AI oversight responsibilities, board structures and escalation, frameworks and standards, risk/privacy/fairness/documentation controls and adaptive policy design, including agentic AI.