AI-Driven Project Planning, Cost Estimation, Management & Controls

Course Category : Artificial Intelligence

An advanced ten-day programme focused on applying artificial intelligence to project planning, scheduling, cost estimation, resource management, forecasting, performance monitoring, and project controls. The programme integrates core project management principles with AI-enabled analytics and decision support, enabling participants to improve estimating accuracy, accelerate planning, identify emerging variances, strengthen forecasting, and support more informed decisions across cost, schedule, risk, and performance management..

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Targeted Audience

Project Managers
Programme and Portfolio Managers
Planning and Scheduling Engineers
Cost Engineers and Cost Estimators
Project Controls Professionals
PMO Managers and Professionals
Project Planners and Performance Analysts
Contract and Project Managers
Risk Management Professionals
Engineering and Construction Project Managers
Data Analysts Supporting Project Environments
Digital Transformation Professionals in Project Functions

Targeted Skills

AI-Enabled Project Planning
Work Breakdown Structure Development
Duration and Schedule Estimation
Project Cost Estimation
Project Data Analysis
Cost and Schedule Forecasting
Variance Analysis
Earned Value Management
Schedule Analytics
Resource Management
Predictive Risk Analysis
Scenario Development
Intelligent Dashboard Development
Early Warning Indicators
AI-Supported Decision-Making
AI Output Validation

Expected Outcomes

Understand AI applications across project planning and controls.
Develop more consistent project plans using AI-enabled analysis.
Use historical data to support duration and cost estimation.
Improve the quality of project cost estimates.
Analyse schedules and identify potential delay areas.
Apply predictive analytics to forecast future project performance.
Integrate earned value indicators with intelligent analytics.
Develop more reliable cost-at-completion and schedule forecasts.
Identify early warning indicators for underperforming projects.
Use scenario analysis to support management decisions.
Design dashboards focused on critical management information.
Assess the reliability of AI-generated project outputs.
Reduce risks associated with inappropriate reliance on automated predictions.
Develop an implementation roadmap for AI-enabled project management and controls.

Training Topics Index

Role of AI in Project Management
AI Use Cases in Planning and Controls
Project Requirements Analysis
Scope and WBS Development
Duration Estimation Support
Assumption and Constraint Analysis
Project Plan Quality Review
Responsible Use of AI

Activity Development and Sequencing
Duration Estimation
Critical Path Analysis
Historical Data Utilisation
Cost Estimation Methods
Analogous and Parametric Estimating
Bottom-Up Estimating
Validation of AI-Generated Estimates

Fundamentals of Project Controls
Baseline Management
Planned Value, Earned Value and Actual Cost
CPI and SPI Indicators
Variance Analysis
Estimate at Completion
Estimate to Complete
Performance Trend Analysis

AI-Supported Risk Identification
Predictive Analytics
Delay and Cost Overrun Forecasting
Early Warning Indicators
Sensitivity Analysis
What-If Analysis
Scenario Development
Risk Response Support

Project Dashboard Design
Executive Performance Indicators
Variance and Exception Reporting
AI-Enabled Reporting
Analytics-Based Decision Support
Human Validation of AI Outputs
AI Governance in Projects
Developing an AI Implementation Roadmap