Artificial Intelligence in Project Management

Course Introduction

Seattle International Institute for Training presents this forward-looking course focused on equipping project professionals with the tools and mindset required to incorporate Artificial Intelligence (AI) into project management processes. With the rise of digital transformation and data-driven decision-making, this course empowers participants to harness AI to optimize planning, forecasting, scheduling, risk mitigation, and stakeholder communication.

Course Objectives

By the end of the course, participants will be able to:

• Understand the fundamentals of AI in project environments
• Use AI to automate repetitive planning and monitoring tasks
• Apply AI tools for resource optimization and risk forecasting
• Enhance decision-making through data-driven project insights
• Integrate AI platforms (e.g., ChatGPT, Notion AI, project management bots) into existing workflows

Target Audience

• Project managers and senior engineers
• Planning engineers and schedulers
• PMO and digital transformation officers
• Consultants in project performance
• Anyone interested in modernizing project delivery with AI

Course Modules (5 Days)

Day 1: AI and Project Management Integration

• Overview of AI in business and engineering
• The evolving role of project managers in the digital era
• Use cases of AI in planning, monitoring, and reporting
• Mapping project life cycle stages with AI potential
• Tools: Intro to ChatGPT, Notion AI, Monday AI, ClickUp

Day 2: Smart Planning and Scheduling

• AI in task automation and scheduling algorithms
• Building smarter Gantt charts and timeline analysis
• Forecasting project delays and bottlenecks
• Interactive planning using AI bots and plugins
• Workshop: Smart planning for a real project

Day 3: Risk Management and Predictive Analytics

• AI models for identifying and predicting risks
• Scenario simulation and impact modeling
• Leveraging machine learning for contingency planning
• Case study: AI-driven risk management framework
• Hands-on: Build a risk dashboard with AI insights

Day 4: Communication and Stakeholder Engagement

• Automating reporting and dashboards for stakeholders
• AI-generated reports and email summaries
• Using AI to support decision-making transparency
• Enhancing team collaboration using smart assistants
• Exercise: Drafting a project update using ChatGPT

Day 5: Implementation and Strategy Development

• Challenges in adopting AI in project workflows
• Change management and digital culture building
• Customizing AI tools for different project scales
• Future trends: hybrid project-AI ecosystems
• Final project: Build a mini AI-powered PM toolkit