Cognitive Project Management in AI: Model Evaluation and AI Project Handoff

Before deploying an AI model, it must be evaluated for accuracy, reliability, scalability, and alignment with business goals. Evaluation is both a technical and strategic process that determines whether a model is ready to deliver value or requires further iteration.In this course, explore how to develop comprehensive evaluation plans, define criteria for success, and interpret performance metrics within a project context. Next, learn about common challenges such as model overfitting, data drift, stakeholder misalignment, and how to make Go/No-Go decisions. Finally, discover how to prepare for the handoff to operations, including documentation, validation protocols, and deployment planning.After completing this course, you will be able to guide a project through the critical transition from development to real-world implementation.