AI for Marketing
Copy, campaigns, audience and analysis with a language model — and the places where it quietly costs you customers

About this course
A course for the person who has to ship the copy: a marketer in a small team, a founder writing their own landing page, a copywriter who now works twice as fast and is not sure that is a good thing. It starts with the most common disappointment — you ask for a selling text, you get four fluent paragraphs that could belong to any company in your industry — and takes apart why that happens and what to hand the model instead.
Along the way you assemble the materials that make every later request better: a product description, a written description of your brand voice, a sheet of facts and figures you can actually prove, and a list of things that must never appear in your copy. Then the channels: a landing section, an email, a social post and an ad are four different jobs, and the differences are specific enough to put into a prompt. Then the inputs — reviews, feedback and competitors' public pages — and the volume questions: a content plan, repackaging one piece of work into several, and why mass generation for search is a bad bet.
The last module is the uncomfortable one. Fabricated reviews, invented case studies and numbers added for effect are not clever marketing; they are a lie to the buyer and a conversation with a lawyer waiting to happen. And a text that sounds good is not a result — this course ends with how to tell whether anything you shipped actually worked. No programming, no dependence on any particular model or advertising platform.