The top of the pathway is not about using AI better. It is about teaching other marketers to use it well, in an agency training session, a university classroom, an association workshop or an in-house enablement programme. An instructor who teaches a rule wrongly makes the error once for every learner who heard it, and a marketing room will repeat a confident statistic long after the session ends. This level is for agency training and learning leads, creative and strategy directors who coach teams, marketing and communications faculty, association and bootcamp instructors, and consultants who train in-house marketing teams.
The first three modules set the foundations. Module one describes the experienced, deadline-driven marketers in the room from survey figures kept inside their populations, explains why a reel of tool successes changes little, states what the workplace evidence lets an instructor say and not say, and describes the amended EU AI literacy duty without overstating it. Every teaching approach in this course is practice, never a borrowed learning-science finding. Module two designs a session backwards from what a marketer must do on Monday, such as checking a claim against the file or stopping a send when consent is missing, lines up objectives, activities and evidence, and cuts what serves no behaviour. Module three keeps material current as rules move: an FTC order set aside while the reviews rule stays in force, consent and click-to-cancel changes reversed, proposals that are not rules, Connecticut's July 2026 changes, a research finding corrected, a currency log, and a written correction to past learners.
Modules four to six are delivery. Module four facilitates a room of creatives, strategists, media buyers, PR staff and principals, matching each concern to the evidence that bears on it, with its limits, and answering challenges from the floor without overclaiming. Module five scripts demonstrations on fictional material that show the tool failing: an invented source and statistic, a cited answer that drops its qualifier, an instruction hidden in a page shown from the defender's side, a detector that flags human writing and a misleading prediction, with a fallback for the demonstration that refuses to fail. Module six builds labs on fictional brands, claims files and customer lists, keeps real client data, customer lists, children's and health data and real likenesses and voices out of every lab tool, and classifies lab outputs at the level of their inputs.
Modules seven to ten are the content hardest to teach accurately. Module seven teaches substantiation before a claim runs, the agency's own conditional exposure, the three elements of deception and the source and statistic check, without horror stories or invented penalties. Module eight teaches what Content Credentials, labels, watermarks and detectors can and cannot show, and never presents any of them as proof in either direction. Module nine teaches four state privacy laws one at a time, New York's synthetic performer disclosure exactly, four election texts with four different duties, and a rule record in place of a harmonised summary. Module ten teaches the persuasion and disclosure studies by what each measured, including the corrected Salvi comparison, and turns a tempting headline into an accurate sentence. No study in it is a campaign uplift figure.
Modules eleven and twelve cover assessment and access. Module eleven writes scenario questions, performance tasks and rubrics that test what a marketer does, with every key traced to the live rule text or guidance, including a text send that must stop after a revocation that did not say STOP, and claims no assessment format is proven. Module twelve checks materials against named WCAG 2.2 success criteria, treats AI-written alt text and auto-captions as drafts to review, states whom accessibility standards bind and that WCAG 3 is an incomplete draft, and never judges a learner by an AI-detector score.
Module thirteen sets the limits of the role: saying "I do not know" and coming back with the source, routing a legal question about a live campaign with a referral sentence, disclosing vendor connections behind a tool recommendation, what the PRSA Code and the AMA Statement ask of their own communities, and describing a course without exaggeration. Module fourteen prepares the Teach-Back, the capstone: one teaching segment for a fictional marketing-agency audience, with every rule's status fixed, accessible materials, a failure demonstration, a behaviour-based assessment item and a reviewer's accuracy sign-off, delivered and reflected on. The level ships with a printable workbook and ten templates, and the examination draws forty scenario questions from a reviewed bank.
Everything here is professional education. It is not legal, privacy, advertising-compliance, telemarketing, accessibility or election-law advice, and it does not replace counsel, a platform's own policies or the law that applies to a campaign. Completing the level earns an independent educational certificate issued by AI Coalition Network with a public verification page. It is not a teaching credential, a platform certification, a professional designation or association membership, it carries no professional education hours, and a session taught by a holder earns none and gains no standing with any association or platform.