AI for Project Management
Cprime
- LLM limits/prompts and automation
- Internal LLM/tool integration
- Sentiment/stakeholder feedback
- Reporting/search/extraction
- Lifecycle/risk/change governance
- Privacy/bias/legal concerns
- Adoption roadmap
Browse / 194 listings
Compare training for breaking work into tasks, drafting schedules and reviewing dependencies. Start with a real planning decision, then check whether the course includes constraints and human review.
Alphabetical order · 21–40 of 194
Cprime
Cegos Singapore / Cegos UK
DIALOG prompt method and GenAI use through project opportunity/business case/charter, preparation/specification/WBS/schedule/critical path/risk/budget, execution/progress/decisions/change and closure/lessons learned.
HDTC Training KSA
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.
EduDelphi
365 Careers
Meridian case covers scope creep, conflict, delays/crisis and charter, WBS, risk/RACI, Gantt, budget and communications; examples mention ChatGPT, Copilot, Gemini, Perplexity and Miro.
AI for Executives Academy
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.
Engineering Science Institute for Training & Development
Apply AI to project estimates, schedules, risk scenarios, meeting/actions, reporting, stakeholder updates and delivery governance.
HK School of Management (LSP)
Prompts, traceability/governance and AI-supported charter, WBS, earned-value analysis and executive reporting.
Skills for Africa Training Institute
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.
NovelVista Learning Solutions Pvt. Ltd., India
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.
Rafał Podraza
Use ChatGPT for project plans, OKR/SWOT analysis, email review, stakeholder preparation and Scrum/Kanban work.
University of New Hampshire Professional Development & Training
Prompt AI for scope, schedules, documents and stakeholder summaries; review bias, privacy and reliability before workflow integration.
Efendiev Orhan
Build a project context pack, milestone plan, roadmap, requirements and risks, then examine a fintech capstone case.
PM eSchool / PM Resources Sdn Bhd
AI for secretarial/administrative professionals; page mentions correspondence, meeting summaries, research/reporting and scheduling
Training Heights Limited
Generate WBS, automate resource/schedule analysis, analyze risk/variance and apply Copilot prompts with PMO data/privacy governance.
London Training for Excellence
AI for scoping, task structuring, risk/issue/dependency identification, stakeholder communication and documentation, status reports, dashboards, meeting outputs, governance, AI risk and a project-improvement plan.
NobleProg
Eight modules cover AI foundations, prompt engineering, AI-assisted charters/objectives/scope, stakeholder analysis, WBS/schedules/estimating/resources, risk registers/issues, tailored project communications, AI ethics/governance and an adoption roadmap.
ActiveLearning Philippines
Uses ChatGPT and Gemini to produce a project-document toolkit from a realistic scenario: initiation/charter, scope and schedule, cost and resource plans, risk register, stakeholder work, execution and earned-value monitoring, issue/performance reporting, closeout and post-project evaluation. Includes privacy and responsible-use guidance.
Trainingcred
Coursera and University of Illinois Urbana-Champaign
Six-course lifecycle path: problem definition, feasibility/data readiness, scope/WBS, requirements, delivery and quality; component work addresses time/budget/compliance.