Role-Based Programme
RB1559

AI-Powered Project Planning & Scheduling

Intelligent Scheduling, Critical Path Analysis & Delivery Forecasting

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

Programme Objectives

  • Develop advanced capability to apply AI across project planning, scheduling, dependency management, milestone control, resource planning, and schedule forecasting.
  • Use AI to analyse activity networks, durations, dependencies, calendars, resources, progress updates, delays, and schedule risks.
  • Apply AI-assisted techniques to identify critical-path changes, float erosion, milestone slippage, sequencing conflicts, and recovery opportunities.
  • Build repeatable AI-enabled workflows for schedule development, progress updating, variance analysis, forecasting, recovery planning, and management reporting.
  • Design responsible AI-assisted scheduling workflows with appropriate controls for data quality, assumptions, baseline integrity, traceability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchSpreadsheet & Data AnalysisProject Scheduling ToolsCritical Path AnalysisResource Planning ToolsSchedule Risk AnalyticsForecasting ToolsReporting & Dashboard ToolsWorkflow Automation

Who should attend

  • Project Planners
  • Project Schedulers
  • Planning Engineers
  • Scheduling Engineers
  • Senior Planning Engineers
  • Project Planning Analysts
  • Schedule Analysts
  • Project Controls Engineers
  • Project Controls Analysts
  • Program Planners
  • PMO Planning Professionals
  • Construction Planners
  • Delivery Planning Professionals
  • Project Managers
  • Planning & Scheduling Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of project planning, scheduling, project controls, or delivery management
  • Familiarity with activities, durations, dependencies, milestones, baselines, progress updates, and project calendars
  • Basic proficiency with spreadsheets, project schedules, documents, and workplace productivity applications
  • No previous AI course attendance required
  • No programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, scheduling intelligence, and workflow automation
  • Mapping AI opportunities across planning, scheduling, updating, forecasting, and reporting
  • Understanding AI assistance versus accountable planning and scheduling judgement
  • Recognising risks from incomplete logic, inaccurate durations, poor data, and unsupported assumptions
Practical activities
  • Mapping an existing planning and scheduling workflow
  • Comparing manual and AI-assisted scheduling activities
  • Creating a Project Planning & Scheduling AI opportunity matrix

Scenarios

Scope to Baseline Project Schedule

Project Scope → WBS → Activities → Dependencies → Durations → Resources → Critical Path → Milestones → Baseline Review → Approval

Participants use AI-assisted techniques to convert a simulated project scope into a structured and logically sequenced baseline schedule, identify critical activities, and prepare a management-ready planning summary.

Delayed Schedule to Recovery Forecast

Progress Update → Baseline Comparison → Slippage Analysis → Critical Path Change → Resource Constraints → Recovery Options → Forecast → Automated Alerts → Management Review

Participants design an AI-enabled scheduling workflow that analyses project delays, evaluates recovery scenarios, forecasts revised milestone dates, and strengthens schedule visibility while retaining final scheduling 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.