Online MBSE Training in Romania

Through a blend of lectures, demonstrations, and interactive labs, this course illustrates the foundations for creating and maintaining an Enterprise Architecture (EA) using the Unified Architecture Framework (UAF) version 1.2.

This instructor-led, live training is aimed at beginner-level engineers and professionals who wish to use 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 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 course is structured to teach the fundamentals of the Systems Modeling Language (SysML), its application via the MagicDraw/Cameo software, core MBSE simulation techniques, and industry best practices. The training covers the basics of creating templates and generating reports within the MagicDraw/Cameo tool suite, while also explaining how macros and scripts function within MagicDraw and their potential applications.

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its implementation via MagicDraw/Cameo software, fundamental MBSE simulation methodologies, and industry best practices. Furthermore, the training aims to equip professionals with a solid understanding of architectural simulation, introduce the Simulation Toolkit plugin, demonstrate the simulation of various diagram types, and illustrate how to link diagram simulations to automate architectural processes.​

This course is structured to teach the fundamentals of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and MBSE best practices. The training focuses on the core concepts and features of validation rules, validation suites, and model metrics, while also introducing the essential aspects of developing and utilizing model queries in MagicDraw/Cameo.​

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and MBSE best practices. The training offers an introduction to the core concepts and features of CATIA No Magic’s Teamwork Cloud, as well as the essential concepts and features of Domain Specific Languages (DSL) in MagicDraw.​

This course combines module-based lectures, instructor demonstrations, and practical labs. Our trainers are seasoned practitioners who balance theoretical knowledge with practical application.

Key Takeaways:

• Understanding the purpose of ontologies
• Appreciating the benefits of knowledge graphs
• Practical skills in Protégé and Concept Modeling

This live, instructor-led training (online or onsite) targets beginner to intermediate-level professionals seeking to grasp the risks of configuration management and apply product line engineering concepts, with or without the use of dedicated tools.

By the end of this training, participants will be able to: Analyze risks associated with product changes across the lifecycle; Apply configuration management best practices; Understand core product line engineering concepts; Model variability and product lines using various tools; Implement an end-to-end process from variability definition to product derivation; and Evaluate the benefits of utilizing tools like pure::variants and FeatureIDE.

This instructor-led, live training (available online or on-site) is designed for beginner-level professionals who aim to utilize pure::variants to understand and implement product line engineering concepts.

By the conclusion of this training, participants will be able to:

• Understand product line engineering concepts applied with pure::variants
• Analyze best practices for product line modeling
• Implement an end-to-end variability process (from definition to variant instantiation)
• Use pure::variants with connectors such as Microsoft Office

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand the value, challenges, and implementation principles of MBSE using the ARCADIA method and the Capella tool.

By the end of this training, participants will be able to Understand the principles and benefits of MBSE; Describe the ARCADIA methodology and its positioning within systems engineering; Explain the added value of Capella compared to traditional document-based tools; Identify impacts of MBSE adoption on engineering processes and practices; and Understand MBSE contribution to digital continuity and multidisciplinary collaboration

This instructor-led, live training (online or onsite) is designed for beginner to intermediate-level professionals who want to learn and apply MBSE using the ARCADIA method and the Capella tool.

Upon completion of this training, participants will be capable of: Understanding MBSE principles and their alignment with ISO 15288:2023; Explaining the ARCADIA methodology and its various architectural layers; Applying ARCADIA from operational needs to physical architecture; Utilizing Capella to build, analyze, and manage system models; Implementing best practices in system modeling through a real-world case study

This instructor-led, live training (available online or onsite) is designed for professionals and domain experts aiming to grasp MBSE concepts and efficiently review system models developed using the ARCADIA method and the Capella tool.

Upon completing this training, participants will be able to:

• Comprehend the ARCADIA methodology and its architectural layers
• Navigate and interpret Capella models
• Evaluate model consistency against system requirements and architecture
• Execute structured model reviews
• Add clear and pertinent review comments within Capella

Practical Systems Modeling with SysML v2 emphasizes the development of a cohesive system model, extending from requirements and use cases to structure, behavior, interfaces, and analytical validation. It integrates the learning of the language itself with a deeper understanding of how its various elements collaborate to articulate system characteristics.