What you'll learn

Every day, communications professionals draft messages with the help of AI, but most are stuck in a cycle of generic outputs, inconsistent tone, and starting from scratch every time. AI doesn't sound like your brand, it doesn't adapt to your audience, and every team member gets different results. Luckily, the problem isn't the technology, it’s the prompting.

In this course, Prompt Engineering for Communications, you'll gain the ability to craft, iterate, and systematize AI prompts that produce consistent, audience-aware, brand-aligned communications at scale.

First, you'll explore how to generate targeted messaging for different audiences, channels, and tones from a single core message, learning the anatomy of an effective communications prompt and seeing how specificity transforms output from generic drafts into board-ready messages.

Next, you'll discover how to iterate on prompts systematically to align AI output with your brand voice, communication goals, and organizational standards, using the "refine, don't restart" principle to close the gap between what AI produces by default and what actually sounds like you.

Finally, you'll learn how to build reusable prompt templates and stress-test them across edge cases, evaluating templates for message consistency, cultural adaptation, and organizational readiness.

When you're finished with this course, you'll have the skills and knowledge of prompt engineering for communications needed to move from one-off prompting to a scalable, repeatable system that keeps your brand voice consistent across every audience, channel, and market that your organization needs to reach.