Beginner · Free · ~5 hours
Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
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What you will be able to do
- 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.
Recommended first: AI Literacy Foundations
Course modules
1. Prompting with context
Outcome: Turn vague requests into testable instructions.
Practice: Rewrite a weak prompt with audience, context, constraints, examples, and success criteria.
Competencies: Prompt and context design · Language-model mechanics
2. Reviewing outputs
Outcome: Detect unsupported claims and decide what requires verification.
Practice: Annotate an AI answer as verified, attributed, uncertain, or unsupported.
Competencies: Output review and error detection · Bias and fairness · Source and claim verification
3. Privacy and ownership
Outcome: Choose safe inputs and understand content rights.
Practice: Create a red/yellow/green data policy for an AI workflow.
Competencies: Privacy and data handling · Copyright and content provenance
4. A dependable workflow
Outcome: Combine AI assistance with checkpoints and human ownership.
Practice: Map an existing task and mark where AI may draft, check, or never decide.
Competencies: AI-assisted workflow design · Tool selection and comparison · Automation boundaries and safeguards
Applied 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