Browse / 134 listings
Compare routes for turning project information into useful reports. Check whether teaching covers the data source, analysis and validation, as well as the final chart or status summary.
Build a status update from a sample dataset; verify every number and flag missing data.
This is an editorial practice suggestion, not a claim that every listed course includes this exercise. Check each provider’s advertised curriculum.
54 PM-specific routes and 80 broader workflow routes mention this task. Labels below keep the two collections separate.
Alphabetical order · 1–20 of 134
KultureHire Edtech, Kadhiravan Jayachandiran
Primary page includes 100+ Excel formula/function examples and a named lesson on using ChatGPT for Excel formulas; workbook topics include cleanup and dashboards.
Edward Ssewanyana
Course examples include breaking projects into 30-minute tasks, drafting SOPs/onboarding, meetings/minutes/status updates, email follow-ups and KPI/retrospective prompts.
Scrum Alliance
Scrum-team communication training covers AI meeting agendas and transcripts, project tool coordination, dashboards and knowledge hubs, with structured prompting and five listed assignments.
ITAM — Extensión Universitaria y Desarrollo Ejecutivo
EuroMaTech
The five-day outline covers AI opportunity identification in delivery processes, real-time monitoring and predictive analytics, risk resolution, dynamic resource allocation, team performance, compliance, quality control, automated reports, stakeholder dashboards and AI-enabled project oversight.
SkillsBooster Academy
Training Heights Limited
Use AI for portfolio ROI/dependencies, ML risk modeling, governance reporting, benefits tracking and executive dashboards.
Aurora Training Advantage
FAQ examples identify AI use to draft agendas, follow-up emails, reports/status updates, extract document data into spreadsheets, and create research/synthesis briefings.
Chris Elsey
Course lists ChatGPT/Claude work tasks, four-step research, Excel formulas and analysis, PDF extraction, dashboards, reporting, and hands-on projects.
AI5 Academy / TGC India
Project context/data rules, scope/schedule/resource scenarios, risk/issue/decision records, status/steering communications, programme review and management simulation.
EduDelphi
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.
Learning Tree International
Custom modules cover initiation, planning, execution, monitoring/control, advanced decision support and a project-management capstone simulation, using charters, plans, risk records, status reports and stakeholder communications.
Starweaver
Prompts/use cases for charters, status reports, risk registers, portfolio prioritization, resource optimization, forecasts and governance.
Coursera
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.
Al Manhal Institute, United Arab Emirates
The outline distinguishes AI projects from traditional work and covers vision, objectives, stakeholders, scope and resources, timelines, delivery methods, technical tools and data sources, testing and evaluation, multidisciplinary team coordination, KPIs, model/data quality, legal and ethical risks, delivery reporting, lessons learned and scaling plans.
Sharma Management International (SMI), Malaysia
The provider outline includes AI fundamentals and project cases, identifying AI opportunities, predictive scheduling and forecasting, risk and issue tracking, resource allocation, dashboards, governance, privacy, change management and a digital PM roadmap.
Learning Tree International
Use a realistic AI/hybrid project case to plan, identify, analyze, respond to and monitor project risks; build a risk breakdown structure and register, apply qualitative scoring and Expected Monetary Value/decision trees, and define response, fallback and dashboard indicators.
SETYM International
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.
Courses are alphabetical by title. These page links cover this collection; use search above to find a particular course, provider or task.
