Learning Harbourby Server Attic

Self-paced · Evidence-led · Built in the open

Practical AI learning for responsible operators.

Learn the systems behind useful AI: bounded agents, protected data, verifiable evidence and accountable decisions. 4 free, self-paced courses — open now. No accreditation claims, no hype — verified completion certificates only.

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  • Evidence-ledShow what happened.
  • Safe by designBound tools and data.
  • Operator firstHumans stay accountable.
A tactile model of a bounded AI system with connected permissions, tools, memory and evidence zones
Learning system 01Local AI AgentsTools · Memory · Evidence · Rollback

Four focused paths

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Practical courses · start at your own pace
  • A bounded local AI system represented as a tactile architectural model

    LH-01Enrolling now

    Local AI Agents

    Bounded agents you can trust on your own machine.

    Practitioner10 modules

  • A learning instrument of lenses, patterns and clearly bounded mechanisms

    LH-02Enrolling now

    AI Foundations

    What modern AI can do, where it fails, and how to work with it safely.

    Foundational5 modules

  • A bounded local AI system represented as a tactile architectural model, shown for the advanced continuation of the course

    LH-04Early access: Module 1 of 7

    Local AI Agents: Advanced Systems

    Multi-agent systems, injection defence and evaluation — still on your own hardware.

    Practitioner7 modules

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Articles worth your time

38 published · researched, original and reviewed

  • 2026-10-23

    The same prompt is not a repeatable answer

    A model can answer the same question differently on two runs, even at temperature zero. Treat one response as a sample, record what produced it, and check the spread rather than trusting a single reply.

  • 2026-10-22

    A .env file is not secret management

    A .env file keeps a value beside the process. Secret management still has to answer where that value lives, who can read it, how it is replaced, and how the backup is protected.

  • 2026-10-22

    A restart policy is not supervision

    A restart policy brings a container back after it exits. Supervision is the separate work of noticing the repeats, limiting them, and escalating while the process is still failing.

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What Learning Harbour is — and isn't

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4 free, self-paced courses, open to sign in and start today.
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Remaining course content, written and reviewed one module at a time.