Prompt engineering isn’t about clever wording — it’s about engineering reliable LLM behavior. In this hands-on video, we walk through practical, code-driven patterns for structuring prompts, enforcing constraints, validating outputs, handling retries, and debugging failures in real LLM systems.
GitHub Repo: https://github.com/CumulusCycles/AI_Engineering_Hands-On
