Role-Based Programme
RB1557

AI-Powered Project Planning & Scheduling

Smarter Work Breakdown, Timeline Optimisation & Schedule Control

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Project Planning and Scheduling across work breakdown, activity sequencing, milestone planning, dependency management, and schedule monitoring.
  • Apply AI-assisted techniques to develop project activities, schedules, milestone plans, dependency maps, and progress reviews.
  • Use structured prompting for work breakdown structures, activity sequencing, schedule analysis, delay assessment, and recovery planning.
  • Explore AI-supported approaches for identifying schedule conflicts, slippage, bottlenecks, dependency risks, and planning gaps.
  • Build responsible AI-assisted planning workflows while maintaining schedule accuracy, governance, realistic assumptions, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDocument AISpreadsheet & Data AnalysisProject Planning AISchedule AnalysisDependency AnalysisReporting & Workflow Automation

Who should attend

  • Project Planners
  • Project Schedulers
  • Planning Engineers
  • Project Planning Analysts
  • Project Controls Professionals
  • Project Coordinators
  • PMO Professionals
  • Program Planning Professionals
  • Project Analysts
  • Implementation Planners
  • Delivery Planning Professionals
  • Project Controls Engineers
  • Junior Project Managers
  • Project Planning & Scheduling Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of project planning or scheduling activities
  • Familiarity with project activities, milestones, dependencies, timelines, or progress tracking is helpful
  • Basic computer, spreadsheet, and document-handling skills
  • No AI or programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to project planning and scheduling
  • Identifying AI applications across activity planning, sequencing, dependency analysis, schedule review, and reporting
  • Understanding AI assistance versus Planner, Scheduler, and Project Manager judgement
  • Recognising limitations such as unrealistic assumptions, incomplete dependencies, and unsupported schedule recommendations
Practical activities
  • Mapping a typical project planning and scheduling workflow
  • Identifying repetitive and information-intensive planning tasks suitable for AI assistance
  • Comparing a traditional scheduling task with an AI-assisted approach

Scenarios

Project Brief to Baseline Schedule

Project Brief → AI-Assisted WBS → Activities → Dependencies → Milestones → Duration Assumptions → Preliminary Schedule

Participants use AI to convert a sample project brief into a structured activity plan and preliminary schedule for Project Manager validation.

Schedule Slippage to Recovery Plan

Baseline Schedule + Actual Progress → AI Analysis → Delayed Activities → Dependency Impact → Recovery Options → Updated Look-Ahead → Status Report

Participants use AI to analyse sample schedule slippage, identify impacted milestones and dependencies, and prepare a recovery-planning summary for management review.

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