MBSE with Automation Training Course

This instructor-led, live training module (delivered online or on-site) is designed for professionals seeking to leverage AI to optimize systems and software engineering operations. For public sector entities aiming to enhance efficiency and rigor in systems engineering, this course provides essential capabilities.

Participants will model a Scanning Electron Microscope, encompassing both hardware and software components, as the primary laboratory exercise. The focus is on developing effective prompting strategies to direct AI in constructing compliant system models.

Upon completion of this three-day intensive, participants will:

•  demonstrate proficiency in utilizing AI as a subject matter expert to define system and software models. 
•  exhibit familiarity with the core pillars of SysML, including Requirements, Structure, Behavior, and Parametrics. 
•  apply structured SysML models to facilitate software integration, 
  • generating User Interface Code from Behavioral Models, 
  • generating Database Code from Structural Models, 
  • generating Microcontroller Code from State Machine definitions. 

This instructor-led, live training conducted in US (online or onsite) is designed for professionals at the beginner to intermediate levels seeking to utilize CATIA V5 for collaborative product creation and data management for government initiatives.

Upon completion of this training, participants will demonstrate the capacity to:

• Navigate and interact with the CATIA V5 interface.
• Generate 2D sketches and translate them into 3D models.
• Formulate assemblies integrating multiple components.

Using a combination of lectures, demos, and interactive labs, this course showcases the foundations for building and maintaining an Enterprise Architecture (EA) utilizing the Unified Architecture Framework (UAF) version 1.2.

This instructor-led live training is targeted at entry-level engineers and professionals who intend to utilize MBPLE within CATIA Magic to understand and implement product line engineering concepts.

• By the end of this training, participants will be able to:
• Understand the key concepts and standardized vocabulary of PLE and MBPLE
• Describe best practices for product line modeling
• Implement a product line definition process in CATIA Magic
• Use MBPLE features such as feature models, variation points, and configurations

This curriculum is structured to impart the fundamental principles of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, core Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices. Additionally, this training is designed to equip professionals with the technical knowledge necessary for architectural simulation, an introduction to the Simulation Toolkit plugin, the execution of simulations across multiple diagram types, and the integration of diagram simulations to facilitate automated architectural processes for government sectors.

This training program is structured to impart the core principles of the Systems Modeling Language (SysML), its application via the MagicDraw/Cameo platform, fundamental MBSE simulation methodologies, and industry-standard best practices. The curriculum focuses on the core concepts and functionalities of validation rules, validation suites, and model metrics, and is designed to introduce participants to the development and utilization of model queries in MagicDraw/Cameo, ensuring alignment with rigorous standards for government applications.

This curriculum is structured to impart the core principles of the Systems Modeling Language (SysML), its implementation via the MagicDraw/Cameo software platform, fundamental Model-Based Systems Engineering (MBSE) simulation techniques, and established best practices for MBSE execution. The training provides an introductory examination of the principal concepts and capabilities of CATIA No Magic’s Teamwork Cloud, alongside an introduction to the foundational concepts and features of Domain Specific Languages (DSL) within the MagicDraw framework.​

"Automation Using Macros & Scripting in MagicDraw" is a structured course that instructs participants on the operational mechanics of macros and scripts within MagicDraw and their applicable use cases. This training utilizes a combination of module-based instruction and live, instructor-led practical demonstrations. The instructional team consists of experienced practitioners who balance theoretical depth with practical application for government and public sector contexts.

Key Outcome: Foundational proficiency in the capabilities and best practices for leveraging macros and scripting within MagicDraw for government operations.

The development of Domain-Specific Languages within MagicDraw serves as an advanced training program offering a foundational introduction to the core principles and functionalities of DSLs. The instruction combines module-based theoretical lessons with live, hands-on demonstrations led by certified instructors. The faculty comprises experienced practitioners who emphasize the integration of theoretical frameworks with practical application for government contexts.

Key Outcomes: A foundational command of the capabilities and industry best practices associated with DSL development in MagicDraw.

Employing a pedagogical mix of instructional briefings, technical demonstrations, and hands-on practical exercises, this program establishes the foundational competencies necessary for the construction and sustained maintenance of an Enterprise Architecture (EA) compliant with the Unified Architecture Framework (UAF) version 1.2, supporting robust governance and accountability for government operations. 

This instructional module provides an in-depth examination of Model-Based Systems Engineering (MBSE) with a focus on model execution. The curriculum is designed to equip systems engineers and enterprise architects with the technical competencies required to simulate system behaviors utilizing the Cameo Simulation Toolkit within the MagicDraw environment. Participants will engage with core topics spanning Activity Diagrams, State Machine Diagrams, Sequence Diagrams, Parametric Diagrams, and User Interface Modeling, while applying these skills to execute trade studies and automate architecture workflows. The course guides learners through model-based simulation techniques, fUML execution, constraint-based modeling, and requirements verification to ensure efficient validation of system designs. It aims to establish proficiency in utilizing interactive graphical simulation interfaces for testing architecture decisions and effectively communicating stakeholder requirements. This training is suitable for professionals seeking to enhance their MBSE capabilities for government and public sector applications, streamlining complex system verification through established methodologies and hands-on, industry-relevant exercises.

Develop proficiency in querying MagicDraw models using Structured Expressions, covering foundational query syntax, contextual variables, and advanced metachain navigation, data retrieval, and script integration. This training equips systems engineers and MBSE professionals with practical methodologies for extracting, filtering, and analyzing structured data within UML metamodels and custom profiles. These capabilities support accelerated design validation and streamlined model management for enterprise architecture operations for government agencies, ensuring robust data integrity and efficient workflows.

A full-day instructional session featuring lectures and demonstrations on the core capabilities of Teamwork Cloud and Magic Collaboration Studio. Topics include role management, model administration, collaborative modeling protocols, and project architecture frameworks.

This course combines module-based lectures, instructor-led demonstrations, and hands-on laboratory exercises. The training staff consists of experienced practitioners who balance theoretical understanding with practical application for government and enterprise audiences.

Key Takeaways:

• Comprehension of the purpose and utility of ontologies
• Understanding of the advantages provided by knowledge graphs
• Practical working knowledge of Protégé and Concept Modeling tools