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AI Career Skills Course
Module 2: Prompt Engineering

Context, Examples and Few-Shot Prompting

Use background material and examples to guide model behavior more reliably.

May 28, 2026·30

Learning Outcome

Use background material and examples to guide model behavior more reliably.

Core Ideas

  • Context: Background needed to answer well.
  • Few-shot example: A sample input-output pair that guides behavior.
  • Style guide: Rules for tone and formatting.
  • Negative example: A sample showing what to avoid.

Career Use Case

A teacher creating feedback comments can provide two good examples so AI follows the expected tone and structure.

Practical Workflow

  1. Start by naming the outcome: what should improve after using Context, Examples and Few-Shot Prompting?
  2. Add the input material, constraints, and success criteria before asking for output.
  3. Ask for assumptions and uncertainty when the answer affects a real decision.
  4. Verify important claims, numbers, and policy statements before publishing or acting.

Hands-On Mini Task

  • Create one input-output example that shows the model exactly how a final answer should look.
  • A good example reduces ambiguity and prevents the model from inventing an unsuitable style.
  • Before moving on, explain how Context and Few-shot example change the decision.

Common Mistakes

  • Using a generic prompt when the task needs clear context.
  • Accepting polished wording as proof of accuracy.
  • Sharing private data without redaction or approval.
  • Skipping a final human review for important decisions.

Quick Revision

Module 2: Prompt Engineering lesson 5 is about practical judgement: use AI to increase speed, but keep the goal, context, evidence, and accountability clear.

FAQs

Is Context, Examples and Few-Shot Prompting only for technical users?

No. The course treats AI as a practical workplace and learning skill, with technical depth only where it improves judgement.

Should I trust AI output immediately?

No. Use AI to accelerate work, then verify facts, privacy, source fit, and reasoning before relying on the result.

What should I practice after this lesson?

Create one input-output example that shows the model exactly how a final answer should look.

How does the linked practice quiz help?

The practice quiz checks the lesson concepts immediately with feedback, while the paid mock bundle uses separate assessment questions.

Test your knowledge

Take a quick quiz based on this chapter.

easyAI Career Skills
Practice Quiz 5: Context, Examples and Few-Shot Prompting
12 questions12 min

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