Python & AI teaching resources

Reusable Python and AI teaching resources for instructors, mentors and curious learners. Start with a complete free lesson; take the classroom introduction with you.

FREE LESSON · 5 MINUTES

Same request. Different prediction.

Use a reordered request to distinguish a plausible answer from a verified input contract.

Prerequisites: Python functions and dictionaries; basic train/test concepts for the full kit.

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Paste this introduction into your LMS or course notes. Keep the attribution and optional-product disclosure. Learners do not need to subscribe or buy.

A 5-minute teaching exercise: Same request. Different prediction.

Before opening the explanation, predict the output for distance_km=4 and traffic_index=0.5. Reverse field order without changing the values. Explain why the result changes; design a test that rejects a constant answer as well as the ordering bug.

Free exercise: https://victorcabrejos.github.io/ml-evidence-lab/?src=classroom_shared
No login, email or installation. The browser uses JavaScript to illustrate a Python fixture, not a trained model. The page includes optional paid instructor material; no purchase is required for this activity.
Source: Victor M. Cabrejos Jr., PhD. AI-assisted, fixture-checked synthetic teaching material. MIT reuse with notices. Suggested timing, not a classroom-tested outcome.

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Related complete instructor kit — $29

Five offline exercises, 20 behavioral tests, learner workbook and separate instructor plan and answer key. MIT reuse; no per-student fees.

One-time download. No live sessions, hosted course, certification or promised updates. This edition has not been classroom validated.

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Teach the reasoning.Keep the evidence.

Same request. Different prediction.

Teach the reasoning.
Keep the evidence.