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Architect AI Systems: From Concept to Code

Курс от Coursera

Средний≈ 2.8 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Diagram Design Systems Architecture Process Modeling System Design and Implementation AI Workflows Model Based Systems Engineering Systems Analysis Enterprise Modeling Model Training Requirements Management MLOps (Machine Learning Operations)Dataflow

Программа курса

1 модулей · 13 учебных материалов

01Architect AI Systems: From Concept to Code13 материалов

Traceable AI: Using SysML to Connect Requirements to System Components

Welcome and What You’ll Learn About AI System TraceabilityВидео Let’s Map Your AI ContextDIALOGUE SysML Basics: Requirement, Block, and Sequence Diagrams ExplainedВидео Tracing Requirements Across AI PipelinesЧтение

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