Level 1 gave you the vocabulary and the boundaries. Level 2 puts AI to work on the tasks that fill an agency professional's day: turning a client brief into ad copy, drafting a landing page from an approved claims list, writing an article that a search engine will treat as helpful rather than as scaled spam, generating an image or a voice-over for a campaign, checking a competitor claim, sending an email or SMS campaign, briefing an influencer, replying to a comment, and writing the monthly client report.
The course is organised around five workflows. Each lesson starts with a plain-language look at what a language or image model can and cannot do for the task, then a worked agency example built on fictional clients, then a practical exercise you complete in your own tools. Every lesson names the point at which a person must review the output, because in advertising the advertiser and the agency, not the software, are accountable for what is published.
You will build a per-client prompt library anchored to brand guides and substantiation files; a verification routine that traces every statistic, claim, and quotation in AI output to the document it came from; a disclosure habit that covers paid endorsements, synthetic media, and the agency's own AI claims; a consent check for every email and SMS send; a copyright and likeness check for every generated asset; and a record-keeping habit that shows a client, a platform reviewer, or a regulator exactly how AI was used on a campaign. The final examination draws randomly from the full question bank and is scenario-based.
This is an independent educational course offered by AI Coalition Network. It does not replace legal, privacy, or advertising-compliance advice, and it does not confer any platform certification or regulatory approval.