Digital Marketing Updated 2026

Prompt Engineering for Marketers

Get consistent, on-brand output from a language model — and know when the answer it gave you is wrong.

4.5 4 ratings 5 students
Last updated Oct 2026

What you'll learn

Write prompts that give the same quality output on the hundredth run

Encode a brand voice so you stop editing tone by hand

Spot a confident, wrong answer before it reaches a client

Build a reusable prompt library your whole team works from

Use structured output so results drop straight into a spreadsheet

Course description

Anyone can get a passable paragraph out of a chatbot. Getting the same quality on the hundredth request, in your brand voice, with facts you can defend, is a different skill. That is what this course teaches.

It is built around the work marketers actually do: briefs, ad variants, landing copy, repurposing and research. Every module ends with a prompt you keep.

Who this course is for

  • Marketers already using AI tools but getting inconsistent results
  • Agency teams who need output that survives a client review
  • Content leads responsible for other people's use of AI

Requirements

  • Access to any current language model — the techniques are not tool-specific
  • Some marketing experience; this is not an introduction to marketing

Course content

Curriculum

3 sections · 8 lessons · 2h 2m

Student feedback

Loved by learners

4.5 4 ratings
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Rahul Nair

Exactly the level I needed

Assumed I was busy and competent, which is rare. The examples are real, not toy problems.

Meera Joshi

Very good, slightly fast in places

The middle section moves quickly if you have not used these tools before. I rewatched two lessons. Still worth it.

Nadia Haddad

Honest about the limits

I appreciated being told what not to automate. Most courses in this space oversell.

Daniel Okafor

Exactly the level I needed

Assumed I was busy and competent, which is rare. The examples are real, not toy problems.

Common questions

Frequently asked questions

Which AI tool does this use?

The techniques work across current models. Examples are shown in two different tools so you can see what transfers.

Is this about writing content for me?

No. It is about getting output you can stand behind, which usually means less editing, not none.

Does it cover image generation?

Only briefly. The focus is text, because that is where the repeatable business value is.

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