MBSE Training in Durban

Through a blend of lectures, demonstrations, and interactive labs, this course illustrates the foundational methods for creating and sustaining an Enterprise Architecture (EA) by utilising the Unified Architecture Framework (UAF) version 1.2.

This instructor-led live training is designed for beginner-level engineers and professionals who wish to utilise MBPLE within CATIA Magic to understand and implement product line engineering concepts.

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

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application through the MagicDraw/Cameo software suite, basic Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices. The training covers the creation of templates and generation of reports within MagicDraw/Cameo, as well as how macros and scripts operate inside MagicDraw and their potential applications.

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application via the MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and best practices in MBSE. The training also aims to provide professionals with a background in architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of various diagram types, and methods for integrating diagram simulations to automate the architecture.​

This course is tailored to teach the fundamentals of the Systems Modeling Language (SysML), its practical application via MagicDraw/Cameo software, foundational MBSE simulation techniques, and industry best practices. The training covers core concepts and features of validation rules, validation suites, and model metrics, while introducing the essential principles of developing and utilising model queries within MagicDraw/Cameo.​

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

This course combines module-based lectures, instructor demonstrations, and hands-on labs. Our trainers are experienced practitioners who balance theory with practical application.

Key Takeaways:

• Understanding the purpose of ontologies
• Appreciating the benefits of knowledge graphs
• Practical knowledge of Protégé and Concept Modelling

This instructor-led live training, delivered online or on-site, targets beginner to intermediate professionals interested in mastering configuration management risks and applying product line engineering concepts with or without dedicated tools.

By the end of this training, participants will be able to: Analyze risks related to product changes throughout the lifecycle; Apply best practices in configuration management; Understand core product line engineering concepts; Model variability and product lines with or without tools; Implement 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 instructor-led, live training (online or onsite) is tailored for beginner-level professionals who wish to use pure::variants to understand and implement product line engineering concepts.

By the end of this course, participants will be able to:

• Grasp product line engineering concepts as applied with pure::variants
• Evaluate best practices for product line modelling
• Execute an end-to-end variability process (ranging from definition to variant instantiation)
• Leverage pure::variants alongside 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 session (delivered online or on-site) is designed for beginner to intermediate-level professionals aiming 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 different architectural layers; Apply ARCADIA from operational need to physical architecture; Use Capella to build, analyse, and manage system models; Implement best practices in system modelling through a real case study.

This instructor-led, live training session, available online or onsite, is designed for professionals and domain experts seeking to grasp MBSE principles and efficiently evaluate system models developed using the ARCADIA method and the Capella tool.

Upon completing this training, participants will be equipped to:

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

Practical Systems Modeling with SysML v2 emphasizes the construction of a cohesive system model, spanning from requirements and use cases to structure, behavior, interfaces, and analysis. The approach integrates language acquisition with an understanding of how various elements interact to comprehensively describe a system.