Foundations of AI in Project Management

This unit establishes foundational knowledge and practical skills for integrating AI into core project management activities, including automation, predictive analytics, collaboration enhancements, and tool integration. Students will also learn ethical and data-safeguarding principles and prepare phased adoption strategies that set up deeper implementation and governance topics in later units.

Learning Objectives

• Analyze the evolution of project management and define measurable success criteria for AI-driven projects using qualitative and quantitative metrics.
• Apply AI tools and workflows to automate routine project tasks — including meeting transcription, drafting project documents with LLMs, generating performance reports, and integrating AI features into existing PM platforms like Asana.
• Demonstrate understanding of AI ethics and data protection by identifying common risks, selecting basic safeguards, and articulating responsible use policies for project teams.
• Evaluate AI capability limits and recommend phased adoption and resource-allocation strategies using AI-powered insights for timeline accuracy, risk prediction, and budget forecasting.