Role-Based Programme
RB1558

AI-Powered Project Planning & Scheduling

Smarter Work Breakdown, Schedule Optimisation & Delivery Forecasting

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across Project Planning and Scheduling activities including WBS development, activity sequencing, milestone planning, dependency management, and schedule monitoring.
  • Use AI-assisted techniques to analyse schedules, dependencies, constraints, resource considerations, slippage, and delivery risks more efficiently.
  • Develop structured workflows for baseline planning, schedule updating, variance analysis, recovery planning, and forecasting.
  • Improve schedule visibility through AI-assisted critical-path analysis, milestone tracking, exception identification, and management reporting.
  • Apply responsible AI practices covering schedule-data accuracy, planning assumptions, dependency validation, forecast uncertainty, and human oversight.

Tools covered

Generative AI AssistantsProject Planning SupportSchedule AnalyticsWork Breakdown Structure DevelopmentDependency AnalysisCritical Path AnalysisSpreadsheet AnalysisMilestone TrackingForecasting SupportReporting AssistanceWorkflow Automation

Who should attend

  • Project Planners
  • Project Schedulers
  • Planning Engineers
  • Scheduling Engineers
  • Project Controls Professionals
  • Project Controls Engineers
  • Project Managers
  • Program Planners
  • PMO Analysts
  • Project Analysts
  • Construction / Engineering Planners
  • Implementation Planners
  • Delivery Planning Professionals
  • Project & Program Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of project planning, scheduling, project controls, or delivery management
  • Familiarity with project activities, milestones, dependencies, baselines, and progress updates is helpful
  • Basic spreadsheet and data-analysis skills
  • Basic awareness of Generative AI is helpful
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, and automation in project planning and scheduling
  • Identifying AI applications across WBS development, sequencing, monitoring, and forecasting
  • Understanding AI assistance versus Planner, Scheduler, and Project Manager accountability
  • Recognising risks related to unrealistic assumptions, incomplete schedules, and inaccurate data
Practical activities
  • Mapping the planning and scheduling lifecycle to AI-assisted activities
  • Identifying repetitive planning and reporting tasks suitable for AI support
  • Comparing traditional and AI-assisted scheduling workflows

Scenarios

Project Scope to Baseline Schedule

Project Scope → AI-Assisted WBS → Activity List → Duration Estimates → Dependency Mapping → Milestones → Critical Path Review → Baseline Schedule

Participants convert a simulated project scope into a structured delivery schedule, define activities and dependencies, identify critical milestones, and prepare a baseline plan for project approval.

Schedule Slippage to Recovery & Forecast Plan

Progress Update → AI-Assisted Variance Analysis → Critical Activities → Delay Drivers → Recovery Options → Revised Forecast → Milestone Impact → Management Report

Participants analyse a delayed project schedule, identify critical slippage and dependency impacts, evaluate recovery options, and prepare a revised forecast with clear management actions.

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