Architect AI Systems: From Concept to Code

About this course

This course helps you design AI system architectures using SysML and MBSE. You’ll model how requirements connect to components, how data flows across the system, and how retraining cycles are triggered. Through videos, readings, hands-on modeling, and a coding lab, you will build requirement diagrams, block structures, and a programmatically generated sequence diagram using Python. By the end, you’ll be able to translate AI concepts into architecture artifacts that teams can code against—supporting reliability, provenance, and auditability.

What you will learn

• Model AI system requirements and data flows using SysML diagrams and MBSE to create artifacts that teams can build and audit against.
• Generate sequence diagrams programmatically in Python to document retraining cycles and support system reliability and provenance.