Build MBSE and AI Competence Across Your Organization
Effective MBSE and AI adoption requires teams who understand how to work with new methods, languages, and tools. SysDICE provides practical, experience‑driven training programs that build the knowledge, skills, and confidence needed to succeed in modern engineering environments.
Our training combines foundational concepts with hands‑on exercises and real project scenarios. Whether your goal is to introduce MBSE, strengthen modeling competence, or prepare teams for large‑scale adoption, SysDICE ensures that your organization builds sustainable and long‑term MBSE capability.
Practical MBSE and SysML Training
- Course Description
- Course Details
- Learning Outcomes
The Practical MBSE and SysML course provides a comprehensive introduction to the fundamentals of Model‑Based Systems Engineering and the practical aspects required for successful MBSE adoption. The course begins by exploring the reasons behind MBSE and connects its concepts to the challenges participants face in their current engineering practices.
Participants learn the key elements of MBSE adoption, including process, method, language, and tool. The training focuses on how an MBSE method is defined and developed in a vendor‑independent manner, supported by hands‑on exercises and real application scenarios.
Human‑factor and business considerations are an essential part of the course. The program concludes with a discussion of how organizations can establish long‑term MBSE capability, ensure sustained adoption, and prepare teams for future engineering needs.
The course includes individual exercises, group assignments, and daily interactive workshops built around practical MBSE use cases.
Who should attend:
- All engineers, particularly systems and software engineers
- Professionals working with requirements, architectures, concepts, and traceability
- Managers aiming to deploy MBSE to improve product quality, reduce design time, manage complexity, and enable reusability
Course format:
- Individual and group exercises
- Workshop sessions based on real MBSE use cases
- Interactive discussions on adoption challenges and best practices
- Vendor‑independent method training
Prerequisites: No prior training required
Duration: 3 days
Delivery options:
- On‑site at the customer location
- External SysDICE training venues with mixed engineering groups
- Online
By completing this course, participants will be able to:
- Understand the core concepts of MBSE, modeling languages, modeling methods, and modeling tools
- Interpret SysML diagrams, elements, relationships, and structures
- Explain why MBSE is needed and how it addresses systems engineering challenges
- Start an MBSE initiative with clarity on what to do and what not to do
- Develop or tailor an MBSE method aligned to organizational goals
- Recognize human‑factor challenges related to MBSE adoption
- Ensure the creation of valuable, usable, and consistent system models
Arcadia and Capella Training
This training is delivered by SysDICE. Commercial procurement is handled through our official partner Obeo.
- Course Description
- Course Details
- Learning Outcomes
The Arcadia and Capella course provides a practical and structured introduction to the Arcadia MBSE methodology and the Capella modeling workbench. Participants learn how to formalize system needs, define architectures, and apply a viewpoint‑driven modeling approach to real engineering problems. The course explains the principles of Arcadia, demonstrates Capella functionalities, and guides participants through system definition activities such as operational analysis, system needs analysis, logical architecture, and physical architecture.
The course uses a case study to illustrate the entire modeling workflow from needs to solution, combined with hands‑on exercises that allow participants to apply concepts directly. Throughout the course, best practices and lessons learned from real-world MBSE deployments are shared, reinforcing how Arcadia and Capella support structured, consistent, and collaborative system modeling.
This course is ideal for organizations adopting model‑centric engineering and looking for a proven, method‑driven approach to modeling system behavior, structure, and interactions.
Who Shoul Attend:
- Systems engineers, systems architects, and engineering practitioners adopting MBSE
- Project teams designing complex systems requiring consistent architecture definition
- Organizations evaluating Capella as part of their engineering toolchain
Course format:
- Hands‑on exercises demonstrating Arcadia methodology steps
- Instructor‑guided demonstrations of tooling features
- Discussions on modeling workflows, viewpoints, and real deployment experiences
Prerequisites: No prior training required, basic knowledge of systems engineering is helpful
Duration: 3 days (or equivalent in half‑day online format)
Delivery options:
- On‑site at the customer location
- External SysDICE training venues with mixed engineering groups
- Online
By completing this course, participants will be able to:
- Understand the principles, goals, and benefits of the Arcadia MBSE methodology
- Apply Arcadia steps including operational analysis, system needs analysis, logical architecture, and physical architecture
- Use Capella to model system functions, behaviors, components, interfaces, and traceability
- Execute transitions between Arcadia perspectives and maintain consistent system representations
- Implement modeling best practices based on real project experience
- Navigate Capella’s environment, views, semantic browser, activity explorer, and available viewpoints
- Understand how Arcadia and Capella support collaboration and large‑scale engineering
This course equips teams with the ability to apply Arcadia and Capella in real engineering contexts and supports their transition toward a structured and scalable MBSE practice.
Empower Your Teams with Practical MBSE and AI Skills
SysDICE helps organizations build the internal competence needed for successful MBSE and AI adoption.
Our training programs ensure that teams understand the concepts, apply the methods, and use the tools with confidence in real engineering projects.
