TLM
    Level 2
    QN: 610/5632/7
    Curriculum Active

    TLM Level 2 Certificate in Embedded Systems Operations

    Official qualification regulated by Ofqual, awarded by TLM. Classified as a Vocationally-Related Qualification. Total guided learning hours: 280 hours.

    Qualification Level
    Level 2
    Awarding Body
    TLM
    Syllabus Units
    7 Units
    Guided Hours
    280 hrs
    Instant access to interactive lessons, quizzes, and spaced revision.

    Course Syllabus & Study Modules

    Complete breakdown of verified curriculum topics and learning objectives.

    1

    Foundations of Networking

    Verified
    Key Learning Objectives:
    • Understand how networks work
    • Understand sockets and how devices talk to each other
    • Monitor and analyse net
    • work traffic
    2

    Foundations of RDK Technologies

    Verified
    Key Learning Objectives:
    • Understand the purpose of RDK and the challenges it addresses
    • Describe the technology that powers RDK
    • Apply knowledge and understanding of embedded development to RDK projects
    3

    Human Considerations and Ethics of AI

    Verified
    Key Learning Objectives:
    • Understand the human impact of AI decisions
    • Explore key ethical questions in AI
    • Recognise the role of responsibility in AI development
    • Understand global perspectives and future challenges
    4

    Introduction to Linux for Embedded Systems

    Verified
    Key Learning Objectives:
    • Understand the foundations of Linux
    • Navigating the Linux operating system
    • Configuring Linux
    5

    Just Culture and Error Management Systems in Technology

    Verified
    Key Learning Objectives:
    • Understand what Just Culture means in technology
    • Recognise different types of human error in tech
    • Learn how error management systems work
    • Understand the value of a learning culture in tech organisations
    6

    Managing Embedded Systems and Operations

    Verified
    Key Learning Objectives:
    • Understand how embedded systems are managed in the real world
    • Monitor and troubleshoot embedded systems
    • Update, configure, and maintain embedded devices
    7

    Understanding Human Factors in AI and Smart Technology

    Verified
    Key Learning Objectives:
    • Understand human risks and ethical concerns in smart systems
    • Explore the impact of AI in homes, cities and businesses
    • Recognise the importance of safety, design, and user understanding

    Regulatory & Verification Details

    Qualification Number (QN)
    610/5632/7
    Regulated Status
    Available to learners
    Awarding Body
    TLM
    Qualification Type
    Vocationally-Related Qualification
    Operational Start
    May 2025