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Practical AI

Prompting, Meaning, and Context

Resolve ambiguity and build requests whose results can be checked.

Modules
2
Lessons
6
Estimated time
About 3 hours of lessons
Before you start
For noncoders. No external AI account needed.

Times are planning estimates from each lesson's stated length, not measured completion times.

Start lesson 1: Meaning, ambiguity, and scopeTry the sample exercise: Meaning, ambiguity, and scope

Reading and practice are open to everyone. Saving your progress needs an account with access to this course.

What the practice looks like

Practical AISample from Practical AI starting checks
Notice: The workshop includes a workbook. It says nothing about refreshments. Draft: “Refreshments are included.”

Would you keep, revise, or leave the claim unresolved? Explain using the notice.

See the evidence check

Refreshment inclusion is unresolved. A workbook does not establish it, and silence does not prove exclusion. Request confirmation or report the missing information.

Course roadmap

Modules are in the recommended order, and every lesson is open from day one.

  1. Meaning in language

    Practice and explain judgments about meaning in language.

    1. Meaning, ambiguity, and scopeStart here25 min
    2. Intent, scope, tone, and audience25 min
    3. Similarity, keywords, and negation25 min

  2. Prompt construction

    Practice and explain judgments about prompt construction.

    1. Goals, context, constraints, and output shape25 min
    2. Examples, counterexamples, and smaller steps25 min
    3. Iteration, context selection, and prompt comparison25 min

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