hands-on-prompting-exercises

name	hands-on-prompting-exercises
description	Use when teaching prompt engineering. Hands-on practice = effective learning.

Hands-On Prompting Exercises

Prompt engineering courses: students need real practice. Exercises with API access; immediate feedback; iterative improvement.

Prompting exercise structure

1. Problem statement — what's the goal?
2. Prompt template — starting point or blank slate
3. Live API access — test prompts
4. Compare to expected output — verify correctness
5. Iteration — refine prompt
6. Discussion — what worked, what didn't

Exercise difficulty progression

Beginner:

1. Basic instruction following
2. Few-shot examples
3. Output formatting
4. System vs user prompts

Intermediate: 5. Chain-of-thought reasoning 6. Decomposition 7. Self-consistency 8. Role assignment

Advanced: 9. Multi-step pipelines 10. RAG 11. Function calling 12. Tool use

Practice environment

1. Browser-based playground — no setup
2. API key for students (with limits)
3. Save prompts — track learning
4. Compare with peers — see different approaches
5. Reference solutions — instructor's prompts
6. Live coaching — instructor reviews

Where this fits in the X3 empire

Prompting curriculum for CardPrepAI Academy advanced AI track.