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مهارات إدارة المشاريع
20013

Artificial Intelligence in Project Management

23-11-2025 To 27-11-2025
Dubai

A practical, tool-agnostic program that connects AI (LLMs/copilots, predictive analytics, optimization, and computer vision) to core PM practices. Participants learn to build prompt workflows, generate schedules and cost scenarios, detect early risks, automate reporting, and create a responsible AI operating model that complements existing PMIS/PPM and BI stacks.

Date :
From 23 Till 27 Nov. 2025
City :
Dubai
Fees :
4500
Date :
From 23 Till 27 Nov. 2025
City :
Dubai
Fees :
4500

Overview

Enable project leaders and teams to embed AI across planning, delivery, risk, and decision-making—accelerating outcomes, improving forecast accuracy, and strengthening stakeholder trust while maintaining governance and ethics.

A practical, tool-agnostic program that connects AI (LLMs/copilots, predictive analytics, optimization, and computer vision) to core PM practices. Participants learn to build prompt workflows, generate schedules and cost scenarios, detect early risks, automate reporting, and create a responsible AI operating model that complements existing PMIS/PPM and BI stacks.

Who Should Attend

Target Group

  • Project and program managers
  • PMO and delivery leaders
  • Product owners and scrum masters
  • Business analysts and workstream leads
  • Portfolio and transformation managers
  • BI/analytics and IT partners supporting delivery
  • Identify high-impact AI use-cases across initiation, planning, execution, monitoring, and closure
  • Build prompt libraries and copilots for RAID logs, status packs, RFIs, and decision briefs
  • Improve planning quality with AI-assisted WBS, schedule options, and cost/resource models
  • Apply predictive analytics to surface early-warning signals and evaluate what-if scenarios
  • Elevate communication with concise narratives, visuals, and tailored stakeholder updates
  • Establish data readiness, validation checks, and ethical guardrails for safe AI adoption
  • AI-assisted planning, estimation, and scheduling
  • Predictive risk analytics and scenario evaluation
  • Stakeholder communication and decision facilitation
  • Delivery orchestration, reporting automation, and knowledge capture
  • Governance, data quality, security, and ethical AI practice

AI Foundations for Project Leaders

  • Value mapping: where AI measurably improves time, cost, quality, and benefits
  • Data readiness: structuring scope, schedules, budgets, and logs for AI use
  • Copilot patterns: meeting notes, action trackers, submittals, and weekly briefs
  • Human-in-the-loop approvals, bias awareness, and confidentiality practices
  • Quick-win portfolio and baseline KPIs to demonstrate early value
  • Planning, Estimation & Scheduling with AI

  • AI-assisted WBS and scope statements with acceptance criteria
  • Schedule intelligence: dependencies, buffers, and recovery options
  • Resource and cost modeling: capacity signals, burn forecasts, and trade-off views
  • Procurement and long-lead visibility: risk flags and lead-time scenarios
  • Planning brief: a sponsor-ready pack generated from project artifacts
  • Contact Us

    For each learning and development project we establish strong relationships and effective communication with partners.
    Don't hesitate to contact us.