L2 Embedded Systems Development

TLM Level 2 Certificate in Embedded Systems Development

This Level 2 Certificate in Embedded Systems Development is designed to introduce learners to the essential principles of software development in the context of embedded and connected technologies. Learners will explore how code is written, structured, and tested for devices such as smart home hubs, routers, and IoT platforms, gaining experience with widely used languages such as C and C++. The qualification provides a strong foundation for those looking to understand how software interacts directly with hardware in real-world systems.

Qualification

On successful completion of the course you will be receive a Nationally recognised Level 2 Certificate in Embedded Systems Development.

Course Content (inclusive but not limited to:)

Learners develop practical skills in embedded systems programming, networking, Linux environments and contemporary technology issues. The course combines hands-on technical learning with an understanding of human factors, ethics and real-world applications of modern computing systems.

Key content includes:

  • Embedded programming with C/C++

    • Writing, compiling and structuring code for embedded systems

    • Working with memory, pointers, configuration files and system resources

    • Managing code for readability, testing and reuse

  • RDK technologies & Linux for embedded systems (optional units)

    • Foundations of RDK, open-source ecosystems, and device build systems

    • Navigating and configuring Linux using command-line tools

    • Understanding system behaviours, logs, services and configuration files

  • Foundations of networking

    • Core networking concepts, protocols and the OSI model

    • Sockets, client/server communication, firewalls and NAT

    • Capturing, filtering and analysing network traffic using packet tools

  • AI, ethics & smart technology

    • Human factors, privacy, data security and behavioural impacts

    • Fairness, transparency and responsibility in AI systems

    • Global perspectives on AI governance and ethical considerations

  • Just culture & error management in technology

    • Understanding human error, blame vs accountability and reporting systems

    • Using learning cultures to improve systems, teams and technological outcomes

This qualification builds both technical and contextual awareness for learners seeking progression into computing, embedded or networking pathways. It also supports broader career routes involving AI, cybersecurity, smart technology and modern digital systems.

Duration

The course requires 120 guided learning hours.

Location

Our courses are National and can be delivered on-premises for your convenience.

​Call to arrange or to find one of our approved training centres. 

For more information or to book call 07769 920050 or send us an email.

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