Open Enrollment Automation Using Macros and Scripting in MagicDraw Training Course

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application through MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and best practices in MBSE.

Through a mix of lectures, demonstrations, and interactive labs, this course demonstrates the foundational principles for building and maintaining an Enterprise Architecture (EA) using the Unified Architecture Framework (UAF) version 1.2.

This instructor-led, live training is tailored for beginner-level engineers and professionals aiming 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:
• Comprehend the core concepts and vocabulary of PLE and MBPLE
• Explain best practices for product line modeling
• Implement a product line definition process in CATIA Magic
• Apply 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 via MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and MBSE best practices. The training covers the essentials 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.

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 is also designed to provide professionals with a background behind architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of multiple diagram types, and how to tie diagram simulations together to automate the architecture.​

This course is designed to teach the core principles of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, fundamental Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices. The training covers the essential concepts and features of validation rules, validation suites, and model metrics, while also introducing the foundational aspects of developing and using 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 key concepts and features of Domain Specific Languages (DSL) in MagicDraw.

Developing Domain Specific Languages in MagicDraw is an advanced course designed to provide a foundational introduction to the core concepts and features of Domain Specific Languages (DSL) in MagicDraw. The course offers a mix of module-based lectures and live, hands-on, instructor-led demonstrations. Our trainers are all experienced practitioners who understand the balance of theory and practicality.

Take-Aways: Foundational understanding of capabilities and best practices for developing DSLs in MagicDraw.

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

Explore the depths of Model-Based Systems Engineering (MBSE) with Model Execution—a course designed to empower systems engineers and enterprise architects with practical skills for simulating system behaviors using the Cameo Simulation Toolkit within MagicDraw. The curriculum covers key topics such as Activity Diagrams, State Machine Diagrams, Sequence Diagrams, Parametric Diagrams, and User Interface Modeling, while also addressing trade-off studies and the automation of architecture workflows. Participants are guided through model-based simulation techniques, including fUML execution, constraint-based modeling, and requirements verification, to efficiently validate system designs. This course helps build confidence in using interactive graphical simulation interfaces to test architecture decisions and communicate stakeholder requirements. It is ideal for professionals looking to expand their MBSE toolkit and streamline complex system verification through proven methods and hands-on industry exercises.

Gain confidence in querying MagicDraw models using Structured Expressions. The curriculum covers foundational query structures and contextual variables, progressing to advanced topics such as metachain navigation, find operations, and script integration. This course equips systems engineers and MBSE practitioners with practical techniques for extracting, filtering, and analyzing structured data across UML metamodels and custom profiles, facilitating faster design validation and more efficient model management within enterprise architecture workflows.

A full day of lectures and demonstrations covering the core features of Teamwork Cloud / Magic Collaboration Studio, including roles, model management, collaborative modeling, and project architecture.

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

Key Takeaways:

• Understanding the purpose of ontologies.
• Grasping the benefits of knowledge graphs.
• Practical knowledge of Protégé and Concept Modeling.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level professionals aiming to grasp configuration management risks and apply product line engineering concepts, utilizing either dedicated tools or alternative approaches.

By the end of this training, participants will be able to: Analyze risks associated with product changes throughout the lifecycle; Implement best practices in configuration management; Comprehend key product line engineering concepts; Model variability and product lines using both tools and manual 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 instructor-led, live training in (online or onsite) is aimed at beginner-level professionals who wish to use pure::variants to understand and implement product line engineering concepts.

By the end 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