BeginnerỌmụmụ · N'efu
Onye ọrụ AI nwere ọrụ
Jiri AI rụọ ọrụ nke ọma ka ị na-echekwa nzuzo, na-enyocha ihe arụpụta, yana ichekwa ụgwọ ọrụ mmadụ.
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Nsonaazụ
Ihe Ị Pụrụ Ime
- Design clear prompts with useful context and constraints.
- Review outputs for factual, privacy, bias, and copyright risks.
- Build a repeatable human-in-the-loop workflow.
A na-atụ aro nke mbụ: Ntọala AI
Usoro ọmụmụ
Usoro modulu
Prompting with context
Nsonaazụ: Turn vague requests into testable instructions.
Omume omume: Rewrite a weak prompt with audience, context, constraints, examples, and success criteria.
Prompt and context designAsụsụ-nlereanya arụmọrụReviewing outputs
Nsonaazụ: Detect unsupported claims and decide what requires verification.
Omume omume: Annotate an AI answer as verified, attributed, uncertain, or unsupported.
Output review and error detectionEleghị anya na ikpe ziri eziIsi mmalite na nkwupụta nkwenyePrivacy and ownership
Nsonaazụ: Choose safe inputs and understand content rights.
Omume omume: Create a red/yellow/green data policy for an AI workflow.
Nzuzo na njikwa dataCopyright and content provenanceA dependable workflow
Nsonaazụ: Combine AI assistance with checkpoints and human ownership.
Omume omume: Map an existing task and mark where AI may draft, check, or never decide.
AI-assisted workflow designTool selection and comparisonAkpaaka ókè na nchebe
Etinyere capstone
Human-in-the-loop workflow
Design and test an AI-assisted workflow for a real recurring task.
- Before-and-after process
- Prompt or configuration
- Verification checklist
- Privacy and failure safeguards