First, you'll explore how to turn a vague script request into a precise one using a prompting framework, then iterate and verify the result with linting, tests, and safety checks like WhatIf. Next, you'll discover how to generate accurate documentation by grounding prompts with live configuration data, MCP servers, and skills, rather than letting the model fill gaps on its own. Finally, you'll learn how to protect sensitive data and guard against prompt injection when feeding logs, tickets, and other content to an agent, and how to use examples, personas, and formatting to get consistent, ready-to-use output for tasks like ticket triage.
When you're finished with this course, you'll have the skills and knowledge of prompting for IT administration needed to get accurate, verifiable results from AI agents while keeping sensitive data safe.

Homepage:
https://app.pluralsight.com/ilx/video-courses/prompt-engineering-for-it-administrators-1/course-overview