Confirmed session — instant bookingArtificial Intelligence in Business
- Starts Sunday 11 October 2026
- Online
- 6:00–10:00 PMRiyadh time

A practical AI business program covering AI in project planning, cost estimation, schedule forecasting, resource allocation, and portfolio prioritization, risk prediction, issue detection, early warning indicators, and AI-assisted decision support, AI in project execution, task automation, progress tracking, quality control, and stakeholder reporting, generative AI for project charters, status reports, risk registers, meeting minutes, and lessons learned, AI tools in MS Project, Excel, dashboards, collaboration platforms, and project analytics, with case studies, templates, tool demonstrations, hands-on exercises, and applied outputs for work
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Ask on WhatsAppThe Artificial Intelligence in Project Management course is a practical artificial intelligence and business applications program designed to build applied capability in AI in project planning, cost estimation, schedule forecasting, resource allocation, and portfolio prioritization, risk prediction, issue detection, early warning indicators, and AI-assisted decision support, AI in project execution, task automation, progress tracking, quality control, and stakeholder reporting, generative AI for project charters, status reports, risk registers, meeting minutes, and lessons learned. It helps participants understand how AI can improve productivity, decision-making, customer value, operational efficiency, risk control, and innovation.
The program covers AI in project planning, cost estimation, schedule forecasting, resource allocation, and portfolio prioritization, risk prediction, issue detection, early warning indicators, and AI-assisted decision support, AI in project execution, task automation, progress tracking, quality control, and stakeholder reporting, generative AI for project charters, status reports, risk registers, meeting minutes, and lessons learned, along with AI tools in MS Project, Excel, dashboards, collaboration platforms, and project analytics, ROI measurement, adoption risks, governance, and ethical use of AI in projects, applied project case studies and AI-enabled project management workflows. Participants work with realistic business cases, AI tools, templates, demonstrations, scenario analysis, and applied exercises that can be adapted to their organization.
The course is designed for approximately 3 training day(s), with emphasis on practical execution, responsible AI use, data-driven thinking, governance awareness, and measurable workplace outputs.
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