Prompt Engineering for Code

When people struggle with AI coding tools, the problem is almost never the tool. It is the prompt. The same assistant that produces a mess from a vague request will produce exactly what you wanted from a clear one. Prompting for code is the highest-leverage skill in AI-assisted building, and this course teaches it in depth.

Prompt Engineering for Code goes far beyond “be specific”. You will learn the full anatomy of a strong code prompt, how to feed an AI the right context, constraints and examples, how to correct course when a result is close but wrong, and how to plan with a spec before you build so the AI follows your intent instead of wandering. You finish by assembling a reusable prompt playbook: a personal library of templates you can lean on for the rest of your building life.

The course is tool-agnostic. Every technique works the same in a chat assistant, an editor assistant, or an agent. No advanced coding background is required, though a little experience building with AI will help the ideas land. Each module blends a short video overview, clear illustrated lessons, a knowledge-check quiz, and a hands-on interactive activity.

What you will be able to do:

• Write prompts with a clear anatomy: role, goal, context, constraints, output and examples.
• Feed an AI the right context and show, not just tell, what you want.
• Correct course precisely when a result is close but not right.
• Decide when to refine a prompt and when to start over.
• Plan with a lightweight spec so the AI builds to your intent.
• Build and maintain a reusable playbook of prompt templates.

Who it is for: Anyone who uses AI to write code, from curious beginners to working builders, who wants dependable results instead of hit-and-miss ones.

Course outline: Orientation · The Anatomy of a Great Code Prompt · Context, Constraints and Examples · Iterating and Correcting · Spec-First Prompting · Capstone: Your Reusable Prompt Playbook.