Description
Who Should Attend
This course is designed for professionals involved in the design and development of embedded and real-time systems, including:
• Embedded Software Engineers
• Firmware Developers
• Systems Engineers
• Software Architects working with embedded systems
• Technical Leads and Engineering Managers
Learning Objectives
By the end of this course, participants will be able to:
• understand the core principles and purpose of UML in embedded systems
• apply UML to model system structure and behaviour
• use diagrams to describe real-time interactions and workflows
• model state-based and event-driven systems
• represent system architecture and component relationships clearly
• improve communication between software, hardware, and system teams
• use UML to support design reviews and documentation
Course Content
Introduction to UML in Embedded Systems
Participants begin by understanding how UML fits within embedded and real-time development.
Topics typically include:
• what UML is and how it is used in engineering environments
• benefits of modelling in complex embedded systems
• differences between general software UML and embedded use cases
• selecting the right diagrams for different design challenges
Modelling System Structure
Participants learn how to represent the static structure of embedded systems.
Topics typically include:
• class diagrams and system components
• modelling relationships between modules and layers
• representing hardware and software boundaries
• structuring systems for clarity and maintainability
Modelling Behaviour and Interactions
This section focuses on how systems behave and interact over time.
Topics typically include:
• sequence diagrams for interaction modelling
• message flows between components and devices
• modelling communication between software and hardware
• capturing real-time interactions clearly
State-Based Modelling for Embedded Systems
Participants explore how to model systems that respond to events and change state.
Topics typically include:
• state machine diagrams
• event-driven design
• transitions, states, and triggers
• modelling control logic and system behaviour
Real-Time Considerations
This section focuses on applying UML in real-time environments where timing and determinism are critical.
Topics typically include:
• modelling timing behaviour and constraints
• representing concurrency and parallel processes
• handling interrupts and asynchronous events
• designing for predictability and reliability
Applying UML to Embedded Architectures
Participants learn how UML supports overall system design and architecture.
Topics typically include:
• component diagrams and architectural views
• defining system boundaries and interfaces
• structuring layered architectures
• aligning design with implementation
Practical Application and Case Studies
The course includes hands-on exercises to reinforce learning and ensure practical application.
Participants will:
• create UML diagrams for realistic embedded scenarios
• model system behaviour and architecture
• review and refine designs collaboratively
• apply UML to their own systems or use cases where possible
Delivery Approach
This is a practical, hands-on course with a strong focus on application rather than theory.
It includes:
• instructor-led explanations
• guided exercises
• real-world embedded scenarios
• group discussion and design reviews
Duration
3 Days
Delivery Options
This course can be delivered as:
• a public scheduled course
• a private team programme
• virtual delivery
• on-site classroom training
Outcomes
After completing this course, participants will be able to:
• create clear and structured UML models for embedded systems
• communicate designs more effectively across teams
• improve the quality and maintainability of system designs
• support better architecture decisions and design reviews
• apply UML confidently in real-world embedded projects
Senior Software Architect & Development Instructor
Microsoft MVP | 30+ Years Engineering Experience
This course is presented by Peter
Peter brings more than 30 years of experience in software architecture, development, and technical training, helping engineering teams design, modernise, and improve complex systems across enterprise, cloud, embedded, and data-driven environments.
He has been exploring the role of AI in software engineering since the early wave of modern AI tooling, focusing on how development teams can use AI productively while maintaining strong engineering standards, governance, and architectural discipline.
Alongside his engineering background, Peter has a Master’s level background in Mathematics and is currently working towards a PhD, bringing deep analytical insight into how AI systems behave and how engineers should evaluate and integrate them responsibly.




