Prompt Engineering
System vs user prompts, few-shot and chain-of-thought, structured outputs, prompt versioning, and knowing when to stop prompting and start building
A practitioner's tour of prompt engineering as an AI Engineer interview topic: what belongs in the system prompt vs the user prompt and why, when few-shot examples help and when they stop paying off, what chain-of-thought actually buys you mechanically, structured outputs and schema-constrained decoding, treating prompts like versioned code with regression tests, and the decision framework for when a longer prompt is the wrong answer and RAG or fine-tuning is the right one.
Practice questions (5)
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Fixing an Injection Bug Caused by a Bad System/User Split
Intermediate · Free -
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Debugging a Few-Shot Prompt That Stopped Improving
Intermediate -
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Should This Endpoint Use Chain-of-Thought?
Intermediate -
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A Structured-Output Pipeline Is Failing Silently in Production
Intermediate -
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A Prompt Change Regressed Production — Design the Process Gap
Intermediate