Role-Based Programme
RB1535

AI-Powered Project Management

Intelligent Planning, Risk Control & Delivery Optimisation

IMAGE REQUIRED
Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across project initiation, planning, execution, monitoring, control, stakeholder engagement, and closure.
  • Use AI to analyse project requirements, schedules, resources, budgets, risks, issues, dependencies, changes, and delivery performance.
  • Build repeatable AI-assisted workflows for project planning, meetings, status reporting, risk management, action tracking, and stakeholder communication.
  • Apply AI to identify schedule slippage, budget concerns, resource constraints, delivery bottlenecks, recurring issues, and management attention areas.
  • Design responsible AI-enabled Project Management workflows with appropriate controls for data quality, confidentiality, accountability, traceability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisProject Planning AIScheduling & Resource Analysis ToolsRisk AnalyticsMeeting & Communication AIReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • Project Managers
  • Senior Project Managers
  • Project Leads
  • Implementation Managers
  • Delivery Managers
  • Technical Project Managers
  • Business Project Managers
  • Transformation Project Managers
  • Digital Project Managers
  • PMO Professionals
  • Project Controls Professionals
  • Program Coordinators
  • Project Analysts
  • Project Management Consultants
  • Project Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of project management, delivery, implementation, transformation, or PMO activities
  • Familiarity with project scope, schedules, milestones, budgets, resources, risks, issues, and stakeholder management
  • Basic proficiency with spreadsheets, documents, presentations, collaboration tools, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, Document AI, and workflow automation
  • Mapping AI opportunities across the complete project lifecycle
  • Understanding AI assistance versus accountable project-management decisions
  • Recognising hallucination, confidentiality, data-quality, and over-automation risks
Practical activities
  • Mapping an existing Project Manager workflow
  • Comparing manual and AI-assisted project-management activities
  • Creating a Project Management AI opportunity matrix

Scenarios

Project Initiation to Controlled Delivery

Business Need → Project Charter → Scope → WBS → Schedule → Budget → Resource Plan → Risk Register → Execution Tracking → Status Reporting → Management Review

Participants use AI-assisted techniques to manage a simulated project from initiation through execution, structure key project artefacts, identify emerging risks, and prepare a management-ready delivery review.

Project Performance Data to Intelligent Intervention

Schedule + Budget + Risks + Issues + Resources + Quality + Stakeholder Updates → AI Analysis → Delivery Exceptions → Priority Actions → Automated Follow-Up → Dashboard → Project Review

Participants design an AI-enabled Project Management workflow that consolidates fragmented project information, identifies emerging delivery risks and performance issues, automates follow-up, and strengthens project visibility while retaining final decisions with accountable project leaders.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.