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Prompt course · 9 lessons · 24 prompts · 1 hour · Beginner

AI for Prompt Engineers

This course teaches prompt engineers how to draft, refine, test, and document prompts with AI. You will practice on real tasks and build habits that make your prompts clearer and more reliable.

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What you'll learn

  • Draft templates: Turn a rough task into a clear first prompt you can reuse.
  • Sharpen wording: Make instructions simpler and less open to misreading.
  • Compare variations: Create a few controlled prompt versions to test different approaches.
  • Preview responses: Spot likely weak answers before you run a full test.
  • Stress-test inputs: Try odd, unclear, and pushy inputs to find where prompts break.
  • Score outputs: Use a simple rubric to judge accuracy, relevance, and consistency.
  • Write guidelines: Turn your notes into documentation your team can follow.
  • Keep runs steady: Standardize structure so prompts behave more the same each time.

What's inside

9 lessons · 24 prompts
  1. Before you start · framework course Few-Shot Prompting: Teach the AI With ExamplesAs a prompt engineer, few-shot prompting lets you show the model labeled support tickets so it classifies new ones consistently.
  2. Start here Noor's Wednesday, two waysA day in the life of a Prompt Engineer, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Prompt Drafting Basics
  4. 02 Lesson 2 · 3 prompts Refining Prompt Wording
  5. 03 Lesson 3 · 3 prompts Generating Prompt Variations
  6. 04 Lesson 4 · 3 prompts Testing Prompt Responses
  7. 05 Lesson 5 · 3 prompts Edge Cases And Robustness
  8. 06 Lesson 6 · 3 prompts Evaluating Output Quality
  9. 07 Lesson 7 · 2 prompts Documenting Prompt Guidelines
  10. 08 Lesson 8 · 2 prompts Optimizing Output Consistency
  11. 09 Lesson 9 · 2 prompts Collaborating With Developers

About this course

7 topics

Prompt engineering with practical AI habits

Prompt engineers make model behavior easier to understand and improve. This course walks through the daily moves: writing a first draft, sharpening wording, testing variations, and recording what you learn.

Each lesson gives you a small task you can try in ChatGPT, Claude, Gemini, or another assistant. You will leave with reusable templates and a simple way to judge if a prompt is ready.

  1. The lessons
    1. Prompt Drafting Basics: Turn a rough task description into a clear, reusable first-draft prompt template.
    2. Refining Prompt Wording: Improve an existing prompt by making its instructions sharper, simpler, and less ambiguous.
    3. Generating Prompt Variations: Create controlled prompt versions to compare and test different instruction strategies.
    4. Testing Prompt Responses: Preview and compare likely model responses to spot weak or off-target prompt instructions before full testing.
    5. Edge Cases And Robustness: Stress-test prompts with unusual, ambiguous, and adversarial inputs to find failure points.
    6. Evaluating Output Quality: Build scoring rubrics and analyze sample outputs to judge prompt accuracy, relevance, and consistency.
    7. Documenting Prompt Guidelines: Turn prompt practices, examples, and decisions into clear team documentation.
    8. Optimizing Output Consistency: Reduce run-to-run variation by standardizing structure and resolving conflicting instructions.
    9. Collaborating With Developers: Translate prompt behavior, user feedback, and review needs between developers and non-technical stakeholders.
  2. What the course covers

    You start with Prompt Drafting Basics and move through refining, variations, testing, edge cases, evaluation, documentation, and consistency. The final lesson on collaborating with developers brings the habits together for real team work.

  3. How lessons connect

    Each lesson builds on the one before it. A draft gives you something to refine, variations give you something to test, and tests give you evidence for your rubric and notes. By the end, you have a full loop you can repeat on any prompt.

  4. How to use prompts well

    Keep instructions direct, name the audience, and say what good output looks like. Ask for the format you need, then check the answer instead of trusting it. Small changes are easier to judge than large rewrites.

  5. Who this course is for

    This course is for prompt engineers, content leads, support teams, and anyone who writes instructions for AI. It suits working professionals who want practical habits, not deep coding. If you already use an AI assistant, you are ready.

  6. Safety and privacy

    Use approved tools and keep private customer data out of prompts unless your team allows it. Do not paste secrets, personal details, or confidential plans into a public assistant. When in doubt, anonymize the example or ask your security contact.

  7. Your next step

    Pick one prompt you use this week and run it through the course loop. Save the version that works and the notes that explain why. Then share the template with a teammate and ask what they would change.