Prompt engineering is crucial for effectively interacting with AI models, especially in cybersecurity contexts. This lesson delves into various techniques such as zero-shot, few-shot, and chain-of-thought prompting, emphasizing the importance of well-structured prompts that include instructions, context, and output formats. Participants will learn how to enhance model responses through context engineering and retrieval-augmented generation (RAG), making this lesson beneficial for data scientists and AI engineers looking to optimize their AI applications.