This repository contains hands-on tutorials covering fundamental and advanced prompt engineering strategies for leveraging LLMs. It includes implementations of techniques such as chain-of-thought prompting, few-shot learning, and in-context learning, demonstrated across models like GPT, Claude, and ChatGPT. The tutorials use Python with integrations to LangChain and OpenAI, making it a practical learning resource for developers working with generative AI.