Generative AI-Driven Models in Systems Engineering
The AI-Assisted Model-Based Systems Engineering (AIM) Workshop is a compelling enterprise training program at the intersection of AI and digital transformation. Designed for engineering organizations, this 24-hour course equips teams to apply generative AI tools within MBSE workflows, accelerating model creation, improving analysis, and preparing systems engineers for the next generation of intelligent design.
The AI-Assisted Model-Based Systems Engineering (AIM) Workshop is a compelling enterprise training program at the intersection of AI and digital transformation. Designed for engineering organizations, this 24-hour course equips teams to apply generative AI tools within MBSE workflows, accelerating model creation, improving analysis, and preparing systems engineers for the next generation of intelligent design.
This course equips engineering professionals to use AI techniques to efficiently create, evaluate, and improve MBSE models, using ChatGPT AI interface and Cameo Systems Modeler for MBSE. Participants collaboratively develop a unified SysML v2 model while gaining hands-on experience with generative AI methods that accelerate modeling, automate documentation, and enhance system analysis. The training emphasizes real-world application across the systems engineering lifecycle—covering requirements engineering, architecture, behavioral modeling, software co-design, and testing.
The accelerated course is intended for those experienced with using Cameo Systems Modeler to build SysML v1 models. Caltech will assist participants in accessing the EPP or EAP versions of Cameo Systems Modeler, which is needed to work with SysML v2 text code.
The program enables teams to standardize advanced MBSE practices, introduce AI fluency into engineering functions, and improve cross-functional collaboration. Each participant receives course materials, modeling artifacts, references, access to recordings via the Caltech LMS, and the textbook AI-Assisted Model-Based Systems Engineering (AIM) by Doug Rosenberg.
In the full 24-hour AIM workshop, participants will learn to:
Model system structure, behavior, and requirements using SysML within an AI-enhanced MBSE workflow
Integrate software into systems models to support hardware/software co-design
Apply AI tools to accelerate model creation, analysis, and design decision-making
Leverage AI personas and agents to support collaborative and intelligent engineering processes
Use domain-driven modeling techniques to align architecture with problem-domain abstractions
Structure and refine requirements using AI to identify gaps, including for software systems
Generate and validate use case narratives with AI support, including user interface wireframes
Design scalable logical and physical architectures with AI-assisted trade studies and component selection
Develop behavioral models with state machines and use AI to generate diagrams and embedded code
Perform parametric simulations and constraint analyses with AI support for system optimization
Create AI-assisted test cases, including unit, behavioral, and integration tests
Utilize AI tools for code generation across embedded, interface, and database software components
Understand the capabilities and advancements of SysML v2 for future-ready system modeling
The full 24-hour workshop includes deep dives, hands-on tool training, and applied exercises covering:
Logical architecture and subsystem modeling
Domain-driven architecture principles
Decomposition into manageable subsystems
Design strategy of using microcontrollers to realize subsystem behavior
State machine-based behavior design
Modeling subsystem logic as state machines
Translating state machines into executable embedded C++ code
AI-assisted requirements modeling
Discovering and refining both hardware and software requirements using AI
Linking stakeholder intent to architectural decisions
AI-assisted use case modeling
Writing clear, concise use cases using AI
Identifying off-nominal behaviors and requirements with AI support
User Interface modeling via executable wireframes
Using AI to generate executable HTML-based UI mockups
Simulating screen flows to validate requirements early
This course is ideal for systems engineers, MBSE practitioners, and technologists working across the systems engineering lifecycle, especially those integrating Gen AI into design, analysis, and operational workflows for complex, networked engineering systems and those who are charged with building future-ready digital engineering capability.
Course NameAI-Assisted MBSE
Format
Live-Online
Duration24 Hours
Start DateSeptember 19
End DateOctober 10
Meet TimesOn the following days: September 19, 26, October 3, 10, 2026 8:00 AM - 3:00 AM Pacific Time
Q1: What tools will I use in the course? Participants will use the 2026 version of Dassault Systèmes' Cameo Systems Modeler which supports SysML v2 and ChatGPT Architect for Generative AI.
Q2: Is prior experience with AI required? No prior AI experience is necessary. Familiarity with MBSE tools and systems engineering principles is required, but AI concepts are introduced in a practical, engineering-focused context.
Instructor
Doug Rosenberg
Systems Engineering, Model-Based Engineering, Software Engineering, and Agile Development
