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Certification

Certification: AI Ad Naming & Creative Pipeline Specialist

Prove you can build AI-powered naming systems and automated creative pipelines that launch 100+ ads weekly.

Exam of 10 to 20 questionsCertificate for LinkedInExpert
Marketing
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The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 10 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Intro: Meet Brandon2:58
  2. 02The Old, Simple Naming System1:17
  3. 03The 15-Variable Naming Convention1:29
  4. 04How Ad Naming Works Today1:16
  5. 05From Naming to 100+ Ads Weekly1:59
  6. 06The Closed-Loop Static Ad Generator1:05
  7. 07Turning Statics into Figma Templates16:22
  8. 08TikTok-Affiliate-to-Meta Pattern7:59
  9. 09Q&A: Which AI Model for Statics?2:32
  10. 10What a Fidelity Gate Is14:00
About the course

What it certifies

This certification validates your ability to design structured ad naming conventions, automate naming workflows with AI, generate static creatives at scale, and analyze performance through naming data clusters. You demonstrate end-to-end mastery of the naming-to-creative pipeline taught by Brandon from Motion.

Skills you prove

  • Building 15-variable ad naming conventions
  • Automating naming via Slack and AI workflows
  • Generating AI statics that pass fidelity gates
  • Converting statics into editable Figma templates
  • Analyzing creative performance with naming clusters
  • Scaling to 100+ ads per week with naming-driven automation

Who it is for

Performance marketers, media buyers, growth leads, and creative operations professionals who want to replace manual ad naming and asset production with AI-driven systems. Ideal for teams running high-volume paid social campaigns across Meta and TikTok.

How the exam works

The certification exam is multiple choice, drawn from every lesson in the course. Each of the 10 lessons contributes questions covering naming structure, automation triggers, static generation quality, fidelity gates, Figma conversion, and reporting unlocks. A passing score requires correct answers across all lesson areas.