# Prompt engineering techniques that actually work

> 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, co…

- Web page: https://learn.thecyberinstructor.com/lesson/prompt-engineering-techniques-that-actually-work-3425
- Program: [AI for Cybersecurity (Sept 2026)](https://learn.thecyberinstructor.com/program/ai-for-cybersecurity-8168.md)
- Access: Requires enrollment in AI for Cybersecurity (Sept 2026)
- Length: 2 h 16 min video
- Skills: NLP, LLMs
- Academy: The Cyber Instructor

## About this lesson

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.

## Navigation

- Previous lesson: [MLOps for security workflows](https://learn.thecyberinstructor.com/lesson/mlops-for-security-workflows-8292.md)
- Next lesson: [Building a RAG over your own data](https://learn.thecyberinstructor.com/lesson/building-a-rag-over-your-own-data-2936.md)