Open Enrollment Developing DSL in MagicDraw Training Course

This instructor-led, live training (available online or onsite) targets professionals aiming to leverage AI to speed up their systems and software engineering efforts. If you have been looking for ways to significantly accelerate your systems engineering work using AI, this course is designed for you.

As part of their lab exercise, students will model a Scanning Electron Microscope (covering both hardware and software aspects), learning how to formulate effective prompts to obtain AI assistance in building the model.

Upon completing this 3-day class, participants will:

•  understand how to utilize AI as a "subject matter expert" during system/software model definition. 
•  gain familiarity with "the four pillars of SysML" (Requirements, Structure, Behavior, and Parametrics)
•  learn how to structure SysML models to incorporate software elements, 
  • generate User Interface Code from Behavior Models, 
  • generate Database Code from Structure Models, 
  • generate Microcontroller Code from State Machines

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its practical application via MagicDraw/Cameo software, fundamental Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices for MBSE.

Through a blend of lectures, demonstrations, and interactive labs, this course presents the foundational principles for developing and sustaining an Enterprise Architecture (EA) based on the Unified Architecture Framework (UAF) version 1.2.

This instructor-led, live training targets beginner-level engineers and professionals seeking to apply MBPLE within CATIA Magic to understand and implement product line engineering concepts.

• By the conclusion of this training, participants will be able to:
• Understand the fundamental concepts and vocabulary of PLE and MBPLE
• Describe best practices for product line modeling
• Implement a product line definition process in CATIA Magic
• Utilize MBPLE features like feature models, variation points, and configurations

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application via the MagicDraw/Cameo software, core Model-Based Systems Engineering (MBSE) simulation techniques, and MBSE best practices. Training includes mastering the creation of templates and report generation within the MagicDraw/Cameo tool suite, as well as understanding how macros and scripts function internally within MagicDraw and their potential applications.

This course is structured to teach the fundamentals of the Systems Modeling Language (SysML) and its application via MagicDraw/Cameo software, along with core Model-Based Systems Engineering (MBSE) simulation techniques and best practices. The training also equips professionals with knowledge of architectural simulation, introduces the Simulation Toolkit plugin, covers the simulation of various diagram types, and demonstrates how to integrate diagram simulations to automate architecture.​

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

Automation Using Macros & Scripting in MagicDraw is a course designed to teach how macros and scripts work inside MagicDraw and what they can be used for. This course provides a mix of module-based lectures and live, hands-on, instructor led demonstration. Our trainers are all experienced practitioners who understand the balance of theory and practicality.

Takeaways: Foundational understanding of capabilities and best practices for using macros and scripting in MagicDraw

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

This course offers an in-depth exploration of Model-Based Systems Engineering (MBSE) focused on model execution. It empowers systems engineers and enterprise architects with practical skills for simulating system behaviors using the Cameo Simulation Toolkit within MagicDraw. Participants will explore key topics across Activity Diagrams, State Machine Diagrams, Sequence Diagrams, Parametric Diagrams, and User Interface Modeling, while performing trade studies and automating architecture workflows. The curriculum guides learners through model-based simulation techniques, fUML execution, constraint-based modeling, and requirements verification to efficiently validate system designs. Attendees will gain confidence in using interactive graphical simulation interfaces to test architectural decisions and communicate stakeholder requirements. This course is ideal for professionals aiming to expand their MBSE expertise and streamline complex system verification through proven methods and hands-on industry exercises.

Gain confidence in querying MagicDraw models using Structured Expressions. This course covers the fundamentals of query structure and contextual variables, progressing to advanced topics such as metachain navigation, find operations, and script integration. It equips systems engineers and MBSE practitioners with practical techniques for extracting, filtering, and analyzing structured data across UML metamodels and custom profiles, enabling faster design validation and cleaner model management in enterprise architecture workflows.

A comprehensive full-day session featuring lectures and demonstrations that highlight the core capabilities of Teamwork Cloud / Magic Collaboration Studio, including role management, model governance, collaborative modeling techniques, and project architecture principles.

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

Key Takeaways:

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

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

By the end of the training, participants will be able to: Analyze risks related to product changes across the lifecycle; Apply configuration management best practices; Understand core concepts of product line engineering; 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.