Recommended learning path

All 10 courses in the order they make the most sense, with the hours each one takes and what it leans on. Every course stands on its own, so this is a suggestion rather than a sequence you have to follow.

  1. Step 126 hours

    Data

    How data becomes trustworthy enough to decide on.

    Start here. Nothing before it.
  2. Step 217 hours

    Energy System Data

    One meter reading, from capture to your bill.

    Data, for quality and lifecycle language.
  3. Step 323 hours

    Network Models

    How a request travels from URL to first byte.

    Nothing. Read it whenever you like.
  4. Step 414 hours

    Digitalisation

    Turning digital tools into a real operating model.

    Data, for what the operating model runs on.
  5. Step 528 hours

    Cybersecurity

    Judge exposure, controls, detection and response.

    Network Models, for how traffic actually moves.
  6. Step 614 hours

    Software Architecture

    Boundaries, trade-offs and runtime evidence, made explicit.

    Network Models and Cybersecurity.
  7. Step 742 hours

    AI

    What AI really does, and where the risk sits.

    Data, for the material a model learns from.
  8. Step 822 hours

    AI Agents

    How agents plan, use tools and stay in bounds.

    AI, for the model underneath the agent.
  9. Step 971 hours

    Enterprise Architecture

    TOGAF 10 as a practical, end-to-end method.

    Software Architecture and Digitalisation.
  10. Step 103 hours

    Technology Evolution

    Each computing era inherits the last and adds.

    Nothing. It is the context for all of it.

Each course is self-contained and can be taken on its own. The order above simply means the later ones land better when the earlier ones are still fresh.

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