Cognitive Project Management in AI: AI Project Roles and Success Metrics

AI project success depends on assembling the right team and defining clear performance expectations. Because AI projects involve specialized data, modeling, and iterative feedback loops, they often require different roles, responsibilities, and collaboration patterns than traditional IT initiatives.In this course, explore the essential roles in an AI project, such as data scientists, project managers, subject matter experts (SMEs), and data engineers, and their unique contributions. Next, learn how to assign roles, coordinate teams, and the differences between cognitive and non-cognitive tasks. Finally, discover how to define success metrics that drive business value, guide Go/No-Go decisions, and maintain stakeholder engagement throughout the project. After completing this course, you will be able to define roles and track success across the AI project lifecycle.