This repository contains a structured course on LLM prompt engineering, covering fundamental principles like writing clear instructions and guiding models through step-by-step reasoning. The curriculum progresses from basic prompt techniques through iterative optimization, text summarization, and inference tasks. It addresses practical concerns like model hallucinations and provides strategies for extracting structured outputs from large language models.