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PROGRAM MODULE · EN / ES · AI1

Problem and evidence

Separate business need, hypothesis and evidence.

Part of AI workflow operations and evaluation.

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MODULE SYLLABUS

Lessons and objectives

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  1. AI1-1 · 4 h

    Workflows and tasks

    • Map a fictional ticket workflow with inputs, decisions, owners and stopping conditions, distinguishing the task from its intended outcome.
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  2. AI1-2 · 4 h

    What to automate

    • Select a task for assisted automation using frequency, reversibility, risk and error cost; justify a manual alternative.
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  3. AI1-3 · 4 h

    Hypothesis limits

    • Write a falsifiable hypothesis with a comparator, population, metric and limitation, without turning partial evidence into a labor-market claim.
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PREPARATION

Before you begin

Functional reading, basic arithmetic and file management. Complete an entry diagnostic.

This module opens the program. Review the introduction and entry diagnostic in the student material.

Read the explanations and examples before practicing. Keep your results and limitations in your own file: these pages do not automatically record attendance, progress or grades.

STUDENT MATERIALS

Continue to guided learning

This syllabus is public. Full explanations, exercises, downloads and simulators retain Academy access controls: an active verified account, active membership and the appropriate permissions. Cohort enrollment is not open.