Role-Based Programme
RB1571

AI for Project & Program Management

Advanced Planning, Delivery Intelligence & Project Automation

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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, governance, and closure.
  • Use AI to analyse project requirements, schedules, dependencies, risks, resources, budgets, issues, stakeholder communications, and project documentation.
  • Build repeatable AI-assisted workflows for planning, status reporting, risk management, meeting follow-up, change control, and portfolio coordination.
  • Apply AI to identify schedule risks, resource constraints, delivery bottlenecks, recurring issues, and management attention areas.
  • Design responsible AI-enabled Project & Program Management workflows with appropriate controls for data quality, confidentiality, decision 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
  • Program Managers
  • Senior Project Managers
  • Project Management Office Managers
  • PMO Professionals
  • Program Management Office Professionals
  • Project Coordinators
  • Project Leads
  • Delivery Managers
  • Transformation Managers
  • Portfolio Management Professionals
  • Project Analysts
  • Business Project Managers
  • Implementation Managers
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of project, program, PMO, delivery, implementation, or transformation management
  • Familiarity with project plans, schedules, risks, budgets, stakeholders, status reports, and change-management processes
  • Basic proficiency with spreadsheets, documents, presentations, 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 project and program lifecycle
  • Understanding AI assistance versus accountable project-management decisions
  • Recognising risks involving hallucinations, weak data, confidentiality, and over-automation
Practical activities
  • Mapping an existing project lifecycle and identifying AI opportunities
  • Comparing manual and AI-assisted project-management activities
  • Creating a Project & Program Management AI opportunity matrix

Scenarios

Project Initiation to Delivery Control

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

Participants use AI-assisted techniques to structure a simulated project from initiation through planning and execution, identify emerging risks, and prepare an executive-ready delivery-control pack.

Multi-Project Portfolio to Program Intelligence

Project Schedules + Risks + Budgets + Resources + Issues + Dependencies → AI Analysis → Cross-Project Conflicts → Priority Actions → Automated Follow-Up → Program Dashboard → Leadership Review

Participants design an AI-enabled program-management workflow that consolidates multiple project signals, identifies shared dependencies and delivery risks, automates follow-up, and strengthens portfolio-level visibility while retaining final decisions with accountable project and program leaders.

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