Essentials of AI in Manufacturing Learning Path Summative Assessment

Learning outcomes

1. The student will recognize the importance of data in AI and machine learning projects in manufacturing, and the significance of identifying essential parameters, collecting relevant data, and properly working with it for successful applications in a manufacturing context.
2. The student will describe the CRISP-DM methodology and the role of each stage in a machine learning project.
3. The student will recognize how CRISP-DM methodology incorporates and applies a machine learning project in Manufacturing contexts.