AI Workflow Evaluation

What you’ll learn

Evaluate supplied AI-workflow proposals using reference labels, anchored rubrics, precision and recall, human review, and regression checks.

• Create policy-linked labels and a reproducible evaluation boundary
• Calculate confusion counts, precision, recall, and undefined metrics correctly
• Compare revisions with explicit risk gates, review capacity, and a bounded decision report

1. 01
   Define a Decision and an Evaluation Boundary16 min lesson + exercise estimate
   Free preview
2. 02
   Build Labels and Separate Development from Review20 min lesson + exercise estimate
3. 03
   Score Draft Quality with Observable Anchors20 min lesson + exercise estimate
4. 04
   Calculate Precision, Recall, and Undefined Results22 min lesson + exercise estimate
5. 05
   Design Review Around Errors and Capacity22 min lesson + exercise estimate
6. 06
   Compare Revisions and Publish a Bounded Report25 min lesson + exercise estimate

What you’ll need

Comfort with simple fractions and editing text files; prior AI Foundations knowledge or equivalent familiarity with AI drafting and review is helpful. A calculator and text editor are sufficient; a spreadsheet is optional. No coding, API key, live AI, or subscription is required. All candidate outputs are authored practice fixtures, not model measurements.

How access works

1. Try the first lesson. Read the preview and complete its exercise before deciding.
2. Pay once through Stripe. The price is $59 USD for this course. There is no recurring subscription.
3. Keep your private order link. After payment confirmation, your order page unlocks the lessons and ZIP download. The browser also saves the purchase in My learning.

Download the course and workbook for offline study. Online access lasts while the service operates. Live tutoring, certificates, and external tool subscriptions are not included.

Access & downloads · Refund policy