Studio SE helps organizations adopt and master model-based systems engineering (MBSE). Through expert-led training, hands-on coaching, and strategic consulting, they equip teams with the skills to model complex systems, improve collaboration, and make better engineering decisions.
In their training they teach not only the general concepts of systems engineering, but also the specifics of SysML modeling language.
Studio SE offered only live training, with its most popular program being a six-day expert-led program. To meet growing demand and reduce reliance on a single expert, Studio SE decided to split the training into two parts: a self-paced online course covering the 50-hour foundational content and an advanced module still delivered by the expert.
The goal Blue Carrot was brought in to fulfill: to create an e-learning course for system engineers and product architects—across industries from telecommunications and medicine to aerospace and defense—with little to no SysML knowledge, and guide them through complex concepts in a way that enables them to build advanced system models and apply their skills in real-world scenarios by the end of the training.
Despite the typical challenges of moving a live program online—such as adapting teaching methods and restructuring content—the most significant hurdle was the loss of real-time interaction and hands-on practice.
The key question was: How do you teach a complex skill without a live mentor to demonstrate, guide, and provide immediate, personalized feedback? How do you replicate the trainer’s role—and everything it entails—in a fully self-paced course?
To address this challenge, we set out to replicate the core logic of the software environment where SysML models are typically built. We added a custom layer of review logic and designed real-world scenarios that required learners to apply their knowledge in context—essentially creating a software simulator within the course
The course was structured to guide learners from basic SysML principles through increasing levels of complexity, culminating in a fully mirrored workflow of the actual modeling application.
Learners engaged with realistic, job-relevant scenarios that simulated real-world challenges, allowing them to apply concepts in context and build practical, transferable skills.
The course is adapted to each learner’s role, prior knowledge, and performance.
A built-in simulator with programmed review logic provided immediate feedback, helping learners verify syntax, apply key principles correctly, and follow industry best practices independently.
To ensure continuity for learners transitioning to the advanced module, we created an AI avatar of the expert, making her recognizable to the audience and adding an extra layer of trust. This allowed learners to connect with the author of the materials, fostering a sense of familiarity and reliability as they progressed through the course.
Defined the overall approach to course delivery.
Mapped and identified dependencies across ~20 subtopics.
Created a series of instructional videos to explain key concepts.
Designed engaging exercises using Articulate Storyline.
Developed the simulator and designed a series of practical exercises for learners.
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