Evaluate supplied AI-workflow proposals using reference labels, anchored rubrics, precision and recall, human review, and regression checks.
AI Research Methods
Frame a research question, organize supplied sources, and turn claims into a traceable decision memo.
What you’ll learn
Frame a research question, organize supplied sources, and turn claims into a traceable decision memo.
- Scope a question to the evidence available
- Build a source register and claim ledger
- Handle contradictions and write a qualified synthesis
The curriculum
- 01Frame a Question That Research Can Answer15 min lesson + exercise estimateFree preview
- 02Build a Source Plan Before Summarizing18 min lesson + exercise estimate
- 03Connect Every Claim to Its Evidence20 min lesson + exercise estimate
- 04Resolve Contradictions Without Hiding Them18 min lesson + exercise estimate
- 05Write a Synthesis That Preserves Uncertainty20 min lesson + exercise estimate
- 06Make the Research Reusable and Reviewable22 min lesson + exercise estimate
What you’ll need
A text editor and modern browser. No coding, API key, or paid AI subscription is required. All examples are fictional and supplied.
A traceable research memo and evidence packet.
Work through the exercises at your own pace and adapt the result to a task that matters to you.
How access works
- Try the first lesson. Read the preview and complete its exercise before deciding.
- Pay once through Stripe. The price is $24 USD for this course. There is no recurring subscription.
- 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.
Another skill
to build on.
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