original module
Intermediate
Generative AI
Prompt Engineering for Production Systems
This resource walks through core prompt engineering techniques used in production LLM systems. It covers structured prompting formats, few-shot example design, and guardrails like output schema validation to reduce hallucinations. Learners will also see how prompt design choices affect latency and cost when calling models through an API gateway like Mesh. By the end, you'll be able to draft a prompt template that reliably produces structured, validated output for a real feature.
Source: SkillOrbit · Original SkillOrbit content
Outcomes
- Design a structured prompt template with input validation
- Implement output schema enforcement for LLM responses
- Evaluate prompt design trade-offs in latency and cost