What participants actually do
Coursework that produces
observable evidence.
Every module ends in work a participant can explain and a reviewer can inspect. The goal is not to memorize AI vocabulary. It is to demonstrate safe, useful, accountable practice.
MODULEREQUIRED COURSEWORKEVIDENCE PRODUCED
01
Foundations + Safety
Evaluate AI responses for hallucinations, unsafe requests, misinformation, sensitive data, and decisions that must remain human.
Safety assessment + responsible-use acknowledgment02
Prompting + Verification
Repair a weak prompt, add context and constraints, verify material claims, compare sources, check freshness, and correct the output.
Prompt-improvement worksheet + source-verification record03
Practical Application
Build a bounded AI-assisted workflow for education, employment, work, small business, ministry, research, or community leadership.
Pathway-specific applied artifact04
Capstone + Review
Document the problem, prompts, sources, privacy precautions, AI contribution, human contribution, feedback, and revisions.
Final project + human review recordExample capstones
Real work for a defined need.
Projects adapt to the participant’s goals while preserving the same verification, privacy, human-contribution, and review standards.
01Résumé-development workflow02Small-business customer response system03Church or nonprofit communications workflow04Source-checked research brief05Scholarship or education-planning assistant06Community-resource information guide
THE HUMAN REVIEW LOOKS FOR
✓ Problem definition✓ Prompt + workflow design✓ Source verification✓ Privacy + safety✓ Human judgment + revision✓ Practical usefulness✓ Clear AI / human contribution