Participants will gain a practical understanding of how Artificial Intelligence (AI) enhances project planning, scheduling, and project controls to improve project performance and organizational outcomes. They will develop the ability to leverage AI-enabled technologies to create effective project planning documentation, optimize project schedules, identify and manage schedule-related risks, and support data-driven decision-making. The program also equips participants with the knowledge and confidence to integrate AI into established project management practices, apply responsible AI principles, and balance AI-generated insights with professional judgment to maximize organizational value and deliver successful project outcomes.

Course Objectives:

By the end of this Program participants will be able to:

• Explain the role of Artificial Intelligence (AI) in modern project planning, scheduling, and project controls.
• Apply AI tools to develop project planning documents, including project charters, work breakdown structures (WBS), activity lists, and project schedules.
• Develop and optimize predictive project schedules using AI-enabled planning techniques.
• Apply AI to identify, assess, and monitor schedule-related risks.
• Analyze project planning data and evaluate AI-generated recommendations to support data-driven project decision-making.
• Monitor project performance using AI-powered dashboards, variance analysis, and forecasting techniques.
• Improve planning quality through effective prompt engineering and responsible AI practices.
• Integrate AI with Microsoft Project, Primavera P6, Microsoft 365, and other project management tools.
• Explain how AI contributes to organizational transformation and enhances project business value while balancing AI-generated insights with professional judgment.

Target Audience:

Project managers, project planners, planning engineers, schedulers, project controls professionals, program and portfolio managers, business analysts, PMO team members, and professionals responsible for developing project plans, schedules, performance tracking, and risk monitoring, as well as anyone seeking to apply AI to improve planning quality and support data-driven decision-making in project environments.

• AI literacy for project professionals
• Project planning and scheduling
• Business insight
• Data-driven decision-making
• Analytical thinking
• Project performance management
• Project controls
• Technology application
• AI prompt engineering
• AI governance
• Responsible AI
• Organizational transformation

Course Methodology:

This training course will be delivered using a range of interactive and practical training methods, including:

• Interactive instructor-led sessions
• Live AI demonstrations
• Hands-on workshops
• Scenario-based learning
• Individual practical exercises
• Group case studies
• Guided discussions

Remarks

This course is delivered by ALTAWAIL Consulting & Training, a PMI® Authorized Training Partner (ATP). Upon successful completion, participants are eligible to claim 18 Professional Development Units (PDUs) toward maintaining their PMI certifications through the PMI Continuing Certification Requirements (CCR) Program.

PDU Distribution

• Ways of Working: 10 PDUs
• Power Skills: 2 PDUs
• Business Acumen: 6 PDUs

Total: 18 PDUs

AI Foundations for Project Planning

• Evolution of predictive project management
• AI capabilities and limitations
• Generative AI in project environments
• AI ethics and responsible use

AI for Scope and Planning

• Creating AI-assisted project charters
• Developing Work Breakdown Structures
• Defining deliverables and scope
• Activity identification
• Milestone planning
• Planning assumptions and constraints
• Using AI for project data gathering and analysis

AI for Schedule Management

• Activity sequencing
• Duration estimation
• Dependency analysis
• Critical Path Method support
• Schedule optimization
• Resource considerations
• AI-assisted schedule forecasting

AI for Risk and Business Analysis

• AI-generated risk registers
• Predictive schedule risk analysis
• What-if scenario planning
• Data-driven project analysis
• AI-supported project decision making
• Evaluating business impact of planning alternatives

AI for Project Performance Management

• Progress monitoring
• Schedule performance analysis
• Variance analysis
• Forecasting project outcomes
• AI dashboards
• Executive reporting
• Measuring project benefits using AI-generated insights

AI Governance and Organizational Transformation

• Data quality considerations
• Prompt engineering techniques
• AI governance
• Ethical and responsible AI
• AI-enabled organizational transformation
• Continuous improvement through AI