MBSE with Team Collaboration Training Course

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

This live, instructor-led training is tailored for entry-level engineers and professionals who intend to utilize MBPLE within CATIA Magic to comprehend and execute product line engineering methodologies.

• By the conclusion of this program, participants will be able to:
• Grasp the essential concepts and terminology of PLE and MBPLE
• Articulate best practices for product line modeling
• Execute a product line definition process in CATIA Magic
• Leverage MBPLE tools such as feature models, variation points, and configurations

This course is designed to impart the fundamentals of the Systems Modeling Language (SysML) and its practical application via MagicDraw/Cameo software. It covers basic Model-Based Systems Engineering (MBSE) simulation techniques and industry best practices. The training also addresses the creation of templates and report generation within the MagicDraw/Cameo suite, providing insights into how macros and scripts function within MagicDraw and their various applications.

This training program is structured to impart the fundamentals of the Systems Modeling Language (SysML), its application via the MagicDraw/Cameo software, essential Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices in MBSE. It is also tailored to equip professionals with a solid understanding of architectural simulation, introduce the Simulation Toolkit plugin, demonstrate simulation across various diagram types, and illustrate how to integrate diagram simulations to automate architectural processes.​

This course is structured to impart the fundamentals of the Systems Modeling Language (SysML), its implementation using MagicDraw/Cameo, and basic Model-Based Systems Engineering (MBSE) simulation techniques, alongside industry best practices in MBSE. The training covers the core concepts and capabilities of validation rules, validation suites, and model metrics, while introducing the key principles of developing and utilizing model queries within MagicDraw/Cameo.​

This course blends module-based lectures, live instructor demonstrations, and practical hands-on labs. Our trainers are seasoned practitioners who strike a balance between theoretical depth and practical application.

Key Takeaways:

• Understanding the role and purpose of ontologies
• Grasping the advantages of knowledge graphs
• Gaining operational proficiency in Protégé and Concept Modeling

This live, instructor-led training (available online or on-site) is designed for professionals at beginner to intermediate levels who seek to comprehend configuration management risks and implement product line engineering concepts, regardless of the use of dedicated tools.

By the conclusion of this training, participants will be able to: analyze risks tied to product changes throughout the lifecycle; apply best practices in configuration management; understand the core tenets of product line engineering; model variability and product lines using both tool-based and non-tool-based methods; execute an end-to-end process from variability definition to product derivation; and evaluate the benefits of using tools such as pure::variants and FeatureIDE

This live, instructor-led training (offered online or onsite) is designed for entry-level professionals looking to utilize pure::variants for understanding and applying Product Line Engineering principles.

By the end of the program, participants will be able to:

• Apply core PLE concepts using pure::variants
• Review and apply best practices for product line modeling
• Manage end-to-end variability processes, from setup to instantiation
• Integrate pure::variants with tools such as Microsoft Office

This live, instructor-led training is tailored for professionals new to the field, offering a comprehensive look at the value, difficulties, and implementation strategies of MBSE through the lens of the ARCADIA method and the Capella tool.

By the conclusion of this program, learners will have acquired the ability to understand the core principles and benefits of MBSE, describe the ARCADIA methodology and its place in systems engineering, explain the superior value Capella brings compared to traditional document tools, identify the effects of MBSE adoption on engineering workflows, and comprehend how MBSE supports digital continuity and interdisciplinary collaboration.

This live, instructor-led training—delivered either online or on-site—is tailored for professionals at beginner to intermediate levels seeking to learn and apply MBSE using the ARCADIA method and the Capella tool.

By the end of this training, participants will be able to: Understand MBSE principles and their alignment with ISO 15288:2023; Describe the ARCADIA methodology and its various architectural layers; Apply ARCADIA from operational requirements to physical architecture; Utilize Capella to build, analyze, and manage system models; and implement best practices in system modeling through a real-world case study

This instructor-led, live session (offered online or on-site) targets professionals and domain specialists seeking to master MBSE concepts and efficiently evaluate system models built using the ARCADIA method in Capella.

By the end of this program, participants will have the ability to:

• Understand the ARCADIA methodology and its architectural layers
• Navigate and interpret Capella models
• Assess the consistency of models with system requirements and architecture
• Perform structured model reviews
• Add clear and relevant review comments within Capella

Practical SysML v2 Systems Modeling emphasizes the construction of an integrated system model, spanning from requirements and use cases to structure, behavior, interfaces, and analysis. The program integrates language instruction with an in-depth understanding of how various elements interact to describe complex systems.