Artificial Intelligence in Project Management
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Artificial Intelligence in Project Management
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
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