Prompt Engineering for Security & Compliance
Turn a large language model into a reliable, repeatable assistant for GRC work.
Tuition
$299
Beginner
Level
4
Modules
8
Lessons
4
Graded quizzes
2
Assignments
4.75 hours
Estimated time
What you will be able to do
- You will be able to structure a prompt with explicit role, context, output format, and constraints so results are repeatable.
- You will be able to apply few-shot, chain-of-thought, and structured-output patterns to GRC tasks.
- You will be able to prompt an AI assistant to draft policies, summarize audit evidence, and propose control mappings.
- You will be able to write guardrails and verification steps that catch hallucinated controls, citations, and facts.
- You will be able to recognize and prevent sensitive-data leakage when using AI tools.
- You will be able to build and maintain a versioned, reusable prompt library for your team.
- You will be able to judge when an AI output is trustworthy enough to use and when human review is mandatory.
What is inside
4 modules, 8 lessons. Each module ends in a graded quiz and most carry an assignment.
- 01
The Anatomy of a Reliable Prompt
A good prompt is not a question typed in a hurry; it is a structured instruction. This module breaks a prompt into its four working parts and shows why each one changes the output you get.
2 lessons · 5 quiz questions
- 02
Prompting Patterns That Make Output Predictable
Beyond structure, a handful of named patterns reliably improve quality. This module covers few-shot examples, chain-of-thought reasoning, and structured-output formatting, with GRC examples for each.
2 lessons · 5 quiz questions · assignment
- 03
Prompting for Real GRC Work
Now we apply structure and patterns to three core GRC tasks: drafting policies, summarizing audit evidence, and proposing control mappings. Each task has its own pitfalls and prompt recipes.
2 lessons · 5 quiz questions
- 04
Guardrails, Verification, and a Reusable Prompt Library
The final module makes your prompting safe and sustainable: preventing data leakage, verifying outputs, and packaging your best prompts into a versioned library your whole team can rely on.
2 lessons · 5 quiz questions · assignment