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.
Architect AI Systems: From Concept to Code
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Architect AI Systems: From Concept to Code
This course is part of Blueprint to Bytecode: Architecting Scalable AI Systems Specialization
Instructor: Professionals in the Industry
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll 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.
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Taught in English
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This course is part of the Blueprint to Bytecode: Architecting Scalable AI Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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