A beginner-friendly course for people who are just starting to use AI. You will learn what AI can and cannot do, how to judge tasks, write clear requests, provide context, control outputs, follow up, and verify risks.
Explain the role of AI in plain language, distinguish AI, models, products, and tools, and describe what AI can assist with and what it should not take responsibility for.
Judge whether a real task is suitable for AI assistance by considering clarity, materials, checkability, and possible consequences.
Split a task into human responsibilities such as goals, materials, standards, verification, and decisions, and AI responsibilities such as drafts, structure, organization, and options.
Rewrite a vague request into a clear AI request that includes the task, background, materials, result requirements, and limits.
Judge what context affects AI results, provide relevant background, materials, limits, and standards, and remove irrelevant or sensitive information.
Set output format, length, tone, and checkable quality standards so AI results are easier to inspect, revise, and use.
State what is wrong with an AI draft, diagnose the issue, specify what to keep, and use follow-up questions to move the result toward usability.
Choose whether to ask AI directly, search sources, provide source text, or analyze table fields based on the type of question, and explain why.
Identify what in an AI answer needs verification, distinguish expressive content, ordinary facts, and high-risk facts, and keep the final human check.
Connect task judgment, context, output control, follow-up, verification, and human final editing into your own AI workflow.
