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Curriculum

AI for Business Leaders

24 hours on operating AI tools competently: what the controls do, which model fits the work, how context behaves, where these systems fail, and what your obligations are when they do.

Read a complete sample lesson — checkpoint included

Modules
8
Lessons
46
Total time
24 hours
Format
On demand

Lessons run 20 to 40 minutes each, as guided reading and hands-on exercises, with three assessments along the way. Two lessons carry worksheets to download and keep. Every lesson shows the date its claims were last checked.

  1. Module 01

    3 hours

    6 lessons

    The Control Panel

    Every toggle in the interface, and what each one actually changes — the answer you get, or the record you leave.

    You will be able to

    • Name every control in the interface and what it changes
    • Turn features on and off for a stated reason
    • Recognise which settings persist between sessions
    See the 6 lessons
    1. 01What the controls actually changeReading · 25 min
    2. 02The model picker, without the marketingReading · 35 min
    3. 03Attachments — what uploading really doesReading · 30 min
    4. 04History, memory and what persistsReading · 30 min
    5. 05Standing instructions and organisation defaultsReading · 30 min
    6. 06Walkthrough: one task, every controlExercise · 30 min

  2. Module 02

    2 hours 45 minutes

    5 lessons

    Choosing the Model for the Work

    Matching a model to the scope of a task, rather than ranking models by capability.

    You will be able to

    • Match model choice to the scope and stakes of a task
    • Explain why the most capable model is often the wrong one
    • Set a default for your team and say when to depart from it
    See the 5 lessons
    1. 01Scope, not rankReading · 35 min
    2. 02The cost of capabilityReading · 30 min
    3. 03Fast models for fast workReading · 30 min
    4. 04A default for your teamExercise · 35 min
    5. 05When to depart from the defaultReading · 35 min

  3. Module 03

    3 hours

    6 lessons

    What the Machine Does With Your Document

    What happens between uploading a file and reading a summary, and where meaning is lost.

    You will be able to

    • Describe what happens to a document after you attach it
    • Predict which parts of a long document get least attention
    • Choose a format that survives the round trip
    See the 6 lessons
    1. 01The upload journeyReading · 30 min
    2. 02What parsing losesReading · 30 min
    3. 03Tables, figures and footnotesReading · 30 min
    4. 04Long documentsReading · 30 min
    5. 05Formats that survive the round tripExercise · 30 min
    6. 06Module review and checkpointAssessment · 30 min

  4. Module 04

    2 hours 30 minutes

    5 lessons

    Context Windows and the Middle

    Why the middle of a long input gets the least attention, and how to work around it.

    You will be able to

    • Explain a context window without using the word token
    • Place critical instructions where they will be followed
    • Split work that will not fit into one pass
    See the 5 lessons
    1. 01The window, in plain termsReading · 30 min
    2. 02The middle problemReading · 30 min
    3. 03Placement that worksReading · 30 min
    4. 04Splitting the workExercise · 30 min
    5. 05Module review and checkpointAssessment · 30 min

  5. Module 05

    2 hours 15 minutes

    4 lessons

    Session Hygiene

    When to keep a conversation going, when to start clean, and why the difference matters.

    You will be able to

    • Decide when a session has gone stale
    • Carry work between sessions without carrying the errors
    • Keep separate matters genuinely separate
    See the 4 lessons
    1. 01When a session goes staleReading · 35 min
    2. 02Starting cleanReading · 35 min
    3. 03Carrying work forward without the errorsReading · 35 min
    4. 04Keeping separate matters separateExercise · 30 min

  6. Module 06

    3 hours 15 minutes

    6 lessons

    Prompting That Survives Contact With Reality

    Instructions that hold up when the input is messy, long, or not what you expected.

    You will be able to

    • Write an instruction that still works on an awkward input
    • State the format you need and get it back
    • Recognise when the prompt is not the problem
    See the 6 lessons
    1. 01Instructions that survive contactReading · 35 min
    2. 02Format contractsReading · 35 min
    3. 03Messy inputsReading · 30 min
    4. 04Iteration without driftReading · 35 min
    5. 05When the prompt is not the problemReading · 30 min
    6. 06Workshop: rewrite three real promptsExercise · 30 min

  7. Module 07

    3 hours 30 minutes

    7 lessons

    Failure Modes and How to Catch Them

    The specific ways these systems fail, and the checks that catch each one.

    You will be able to

    • Name the failure modes and how each one looks in practice
    • Apply a proportionate check before work leaves your desk
    • Decide what must never be delegated to a model
    See the 7 lessons
    1. 01The failure catalogueReading · 30 min
    2. 02Confident nonsenseReading · 30 min
    3. 03Omission and truncationReading · 30 min
    4. 04Instruction driftReading · 30 min
    5. 05Numbers and citationsReading · 30 min
    6. 06Proportionate checksExercise · 30 min
    7. 07What never gets delegatedReading · 30 min

  8. Module 08

    3 hours 45 minutes

    7 lessons

    Data, Contracts and Liability

    What you agreed to, what leaves your organisation, and who answers for the output.

    You will be able to

    • Read the terms that govern your organisation’s usage
    • Say what data may and may not be put into a tool
    • Establish who is accountable for a published output
    See the 7 lessons
    1. 01What you agreed toReading · 35 min
    2. 02Where your data goesReading · 30 min
    3. 03Training and retentionReading · 35 min
    4. 04Confidentiality and privilegeReading · 30 min
    5. 05Accountability for outputReading · 35 min
    6. 06A policy that worksExercise · 30 min
    7. 07Review and assessmentAssessment · 30 min

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