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edX

Effective Prompt Engineering with Chat AI

via edX

Overview

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This beginner-friendly path introduces the core ideas behind large language models and how prompts shape their responses. It is designed for learners who want to use AI chat tools more effectively for writing, analysis, productivity, and structured output tasks.

You will practice techniques for brainstorming, improving system-style instructions, iterating on prompts, and guiding models toward more useful responses. The path also covers how to modify text while preserving tone or meaning, control response length, and request specific formats such as lists, tables, or JSON.

By the end, you will have a practical prompt engineering toolkit for creating clearer instructions, evaluating outputs, and refining prompts across common real-world use cases.

Syllabus

  • Explain how large language models respond to prompts
  • Write clear prompts that define goals, context, and constraints
  • Apply iterative techniques to improve AI-generated responses
  • Modify text while preserving tone, style, or key details
  • Control output length for concise or detailed responses
  • Request structured formats such as bullet lists, tables, and JSON
  • Use advanced prompting strategies for brainstorming and reasoning tasks

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