Evaluating AI Outputs
Analysis & decisions · 4 hours · $675 per participant
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THE APPLIED EXPERIENCE
What you’ll work on
Identify unsupported claims, numerical errors, weak reasoning, and missing context in sample outputs.
What you will be able to do
- Identify unsupported claims, numerical errors, weak reasoning, and missing context in sample outputs.
- Apply an output-review rubric consistently across samples.
- Decide whether to accept, revise, or escalate an output and record the decision.
What you leave with: work products & reusable resources
- Output-review rubric
- Validation log
- Error checklist
- Escalation decision guide
How the 4 hours run
| A Assess30 min | Review how AI-assisted work reaches you today and what checks exist. |
|---|---|
| X eXplore1 hr 10 min | The common failure patterns in AI outputs and how to test for each. |
| I Implement2 hr | Review sample outputs with the rubric, log errors, and make accept, revise, or escalate decisions. |
| S Sustain20 min | Adopt the error checklist and escalation decision guide for your team. |
Who it is for
Anyone reviewing AI-assisted work.
Before you enroll
Basic AI familiarity.
COURSE COMPLETION
Complete this course
Attend the live instructional hours and submit the course work products listed above.
This individual course has no formal assessment or capstone requirement. The hands-on activities help you practice and apply what you learn.
Digital badges and certificates of completion are issued through Certifier with a verification link.
Formal capstone assessment applies only when completing a full AI Mastery or role certificate pathway through AXL-30.
Course completion and full-pathway requirements →