AI IN PROJECT MANAGEMENT: ENHANCING DECISION-MAKING AND EFFICIENCY
Leveraging Artificial Intelligence to Optimize Planning, Risk Management, and Execution
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 06 – 08 May 2025 | Dubai, UAE | USD 2495 per delegate |
Course Introduction
Project management is rapidly evolving through the integration of Artificial Intelligence (AI), which enables predictive insights, intelligent automation, and enhanced decision-making across the project lifecycle. AI can help project managers forecast risks, optimize schedules, allocate resources, and make data-driven choices faster and more accurately.
This course provides project professionals with the skills to implement AI tools and strategies within project environments. Through hands-on exercises, real-world examples, and AI applications in planning, monitoring, and stakeholder communication, participants will learn how to transform traditional project delivery using cutting-edge technology.
Course Objectives
By the end of this course, participants will be able to:
• Identify key AI technologies and their relevance to project management
• Apply AI tools to improve planning, resource allocation, and scheduling
• Use predictive analytics to anticipate risks and performance issues
• Automate repetitive project tasks and reporting
• Drive project decisions through real-time data and intelligent dashboards
Key Benefits of Attending
• Stay ahead by incorporating AI into project methodologies
• Improve efficiency, reduce delays, and enhance risk response
• Boost team productivity by automating manual project functions
• Make better-informed decisions using data-driven insights
• Lead digital transformation in your project environment
Intended Audience
This program is designed for:
• Project managers and PMO leaders
• Project planners, schedulers, and controllers
• Business analysts and digital transformation teams
• IT project teams and Agile practitioners
• Anyone involved in planning, executing, or managing projects
Individual Benefits
Key competencies that will be developed include:
• Understanding and applying AI in a project context
• Using AI-powered tools for project data analysis and forecasting
• Automating project documentation, reports, and workflows
• Identifying inefficiencies and opportunities through machine learning
• Aligning AI insights with stakeholder decision-making needs
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Higher project delivery speed and quality through automation
• More accurate forecasting and risk mitigation
• Better resource optimization and stakeholder satisfaction
• Stronger alignment between project goals and business strategy
• Enhanced agility and adaptability in complex project environments
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Introduction to AI use cases in project management
• Case Studies – Real-world success stories of AI integration in projects
• Workshops – Interactive exercises on AI tools, dashboards, and risk models
• Peer Exchange – Cross-industry sharing of AI-enabled project practices
• Tools – Sample dashboards, automated reports, and AI scheduling templates
Course Outline
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Foundations of AI in Project Management
Module 1: AI Technologies and Their Role in Project Management (07:30 – 09:30)
• Machine learning, NLP, automation tools in project workflows
Module 2: Digital Project Planning with AI (09:45 – 11:15)
• Schedule optimization, resource forecasting, dynamic planning
Module 3: Integrating AI into PM Software (11:30 – 01:00)
• Tools like MS Project with AI plug-ins, Wrike, Monday.com, Jira AI
Module 4: Workshop – Automating a Project Plan (02:00 – 03:30)
• Use AI to generate project timelines and resource plans
Day 2: Predictive Insights and Risk Intelligence
Module 1: Predictive Analytics for Project Performance (07:30 – 09:30)
• Trend analysis, EVM forecasting, cost and schedule risk
Module 2: AI-Driven Risk Management (09:45 – 11:15)
• Risk identification, probability modeling, impact scoring
Module 3: Stakeholder Communication and AI Dashboards (11:30 – 01:00)
• AI-generated reports, progress dashboards, visualizations
Module 4: Workshop – Build a Predictive Risk Dashboard (02:00 – 03:30)
• Hands-on exercise with sample project data
Day 3: Implementation and Strategic Impact
Module 1: Automating Project Tasks and Reporting (07:30 – 09:30)
• Task prioritization, smart reminders, and document generation
Module 2: AI Ethics, Data Security, and Project Governance (09:45 – 11:15)
• Responsible AI use, data privacy in project environments
Module 3: Building an AI-Enabled PM Roadmap (11:30 – 01:00)
• Change management, tool selection, pilot planning
Module 4: Final Workshop – Present Your AI in PM Strategy (02:00 – 03:30)
• Group presentations with facilitator feedback
Certification
Participants will receive a Certificate of Completion in AI in Project Management, validating their ability to apply artificial intelligence to optimize planning, execution, risk management, and stakeholder reporting in modern project environments.