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PROGRAM MODULE · EN / ES · AI6

Evaluation capstone

Deliver a local model with tests, limitations and an oversight plan.

Part of AI workflow operations and evaluation.

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MODULE SYLLABUS

Lessons and objectives

Review the sequence before you start. Each link opens the corresponding lesson in the protected student guide; a verified account and active membership are required.

  1. AI6-1 · 4 h

    Define the case

    • Define a bounded project with synthetic data, a comparator, prior criteria, oversight and use restrictions.
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  2. AI6-2 · 4 h

    Run a reproducible comparison

    • Run and repeat the local comparison, verify eight automated checks and collect API-contract evidence without conflating components.
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  3. AI6-3 · 4 h

    Present results and limits

    • Present reproducible results, limitations and an oversight plan with a recommendation proportionate to the evidence.
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PREPARATION

Before you begin

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

This module follows Operations and changes. Review the earlier material if you need to strengthen the foundations.

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.