Document and Evaluate LLM Prompting Success is an intermediate course for ML engineers and AI practitioners responsible for the stability and performance of live LLM systems. Moving an LLM from a cool prototype to a reliable production service requires more than just clever prompting—it demands operational discipline. This course provides the framework for that discipline.

You will learn to create professional-grade operational documentation, authoring a step-by-step run-book for managing critical system tasks like a vector index update, complete with validation checks and rollback procedures. You will also move from prompt artistry to prompt science, learning to systematically evaluate and A/B test prompt patterns. By analyzing the trade-offs between response quality, consistency, and token cost, you will make data-driven decisions that ensure both performance and efficiency. The course culminates in creating an LLMOps Production-Readiness Toolkit, equipping you to manage and optimize production AI systems effectively.