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Data and AI

Prompt Design

Build practical understanding of task framing, context, examples, constraints, iteration, and output evaluation, then use it for creating prompts that support repeatable research, writing, analysis, and automation.

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Level
Beginner to advanced foundations
Subject area
Data and AI
Learning outcomes
4 focused outcomes

Topic overview

Learn the foundations of Prompt Design.

Prompt Design connects task framing, context, examples, constraints, iteration, and output evaluation with practical decisions and tasks. Guided examples, comparison, practice, and feedback help learners apply these ideas to creating prompts that support repeatable research, writing, analysis, and automation. The goal is to make each step easier to explain, check, and improve.

Learning outcomes for Prompt Design

  1. 1

    Explain the main ideas and vocabulary involved in task framing, context, examples, constraints, iteration, and output evaluation

  2. 2

    Follow a repeatable process for creating prompts that support repeatable research, writing, analysis, and automation

  3. 3

    Compare examples, identify common mistakes, and improve an approach

  4. 4

    Complete an independent prompt design task and reflect on the result

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Suggested route

How to learn Prompt Design step by step.

01

Build the foundation

Explain the main ideas and vocabulary involved in task framing, context, examples, constraints, iteration, and output evaluation

02

Practise with feedback

Follow a repeatable process for creating prompts that support repeatable research, writing, analysis, and automation

03

Practise with feedback

Compare examples, identify common mistakes, and improve an approach

04

Apply and reflect

Complete an independent prompt design task and reflect on the result

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