Write focused prompts with enough context and clear constraints.
Verify claims, calculations, and recommendations before use.
Recognize sensitive information and apply safer handling practices.
Course outline
01
Prompt with purpose
Turn an everyday task into a clear request with an observable result.
02
Verify before you trust
Check facts, reasoning, and omissions against reliable evidence.
03
Protect people and information
Use AI without exposing confidential, personal, or regulated data.
OPEN LESSON
Open lesson: Prompt with purpose
Before automating a task, define the result you need and the evidence that would make it trustworthy. In this course, the goal is: Use generative AI for a real work task with a repeatable verification and privacy checklist. AI can accelerate a draft, comparison, or exploration, but it does not know your policies, full context, or the cost of being wrong. Begin with a low-risk case and keep the earlier version so you can compare, explain, and reverse the decision.
Define the deliverable and an observable quality criterion: Write focused prompts with enough context and clear constraints.
Set context, allowed data, and human review before generating: Verify claims, calculations, and recommendations before use.
Check the output and document the final decision: Recognize sensitive information and apply safer handling practices.
Responsible authorVidAcademia Editorial Team
ReviewVidAcademia Learning Quality
MethodOutcome-first design, primary-source review, guided practice, and a human-verified final decision.
SOURCES AND EVIDENCE
Learn with references you can verify.
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