Compare courses covering automations and agent workflows. Ask whether exercises include permissions, test data, error handling and a way to stop or review the workflow.
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.
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.
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.
Four units across AI foundations, VA tasks, reusable prompt templates and business workflows; Client emails, meeting summaries/follow-ups, SOPs/onboarding/training guides, multi-client calendars, proposals/service packages, websites/outreach and automation/systems
The 1 h 57 course has a 59-minute AI Processes section with named research, spreadsheet, presentation, writing and content lessons, plus a 17-minute AI Automation section with an AI-workflows lesson. Outcomes name task identification, workflow building and insight extraction.
Course uses verification steps, evidence/source research, email and meeting records, analysis, memos, privacy checks, permissions/escalations and an AI adoption plan.
prompts for charters/scope/WBS, activities/dependencies and three-point estimates
risk triggers and early warnings
status/meeting automation
capacity planning
privacy and human-review checkpoints. Day-five labs build a charter/WBS/estimate, risk register/early-warning report, tested prompt library, team AI policy and a PM playbook.
Intermediate advanced-prompting course for office and business-services staff, applying AI to documents, spreadsheets, research and workflow automation.
Topics cover the project life cycle, logical framework, AI forecasting and scenario planning, Gantt/PERT estimates, monitoring and evaluation, risk prioritization, data quality, automation, dashboards, reporting, governance, ethics and data security.