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Master AI Marketing Agency Certification · Digital course

MAMAC Level 6 — Certified AI Marketing Instructor

Self-paced enrollment in Level 6 of the Master AI Marketing Agency Certification: Teach this material to agency teams: how experienced marketers actually learn, how to facilitate a mixed-skill room, how to run demonstrations that can fail, how to write assessments that measure judgement, how to make sessions accessible, and what an instructor may and may not claim.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$599.00

One-time purchase
What Level 6 covers Review the complete curriculum The six-level program

Enrollment includes

Responsible AI training built for marketing agencies

Evaluate AI tools for marketing value, limitations, client confidentiality, privacy, copyright and trademark awareness, vendor risk, platform policies, and responsible oversight.

Create reliable prompts and verification procedures for strategy, branding, content, SEO, advertising, email, social media, research, analytics, and creative review.

Improve client and campaign workflows without fabricating rankings, approvals, ownership, analytics, customer intent, campaign performance, revenue, or business outcomes.

Automate repetitive agency work with defined data access, permissions, approvals, exceptions, audit trails, output checks, escalation paths, and documented limitations.

Curriculum at a glance

From marketing fundamentals to AI agency leadership

View all 14 modules
  1. Module 01

    How Marketing Teams Learn AI, and Why the Demo Reel Fails

    The instructor tier opens with the marketers in the room: experienced, deadline-driven and already opinionated about AI. Why a reel of tool successes changes little, what the workplace evidence lets an instructor say and not say, and why training needs accountability and design beside it. Every teaching approach here is practice, never a learning-science finding.

  2. Module 02

    Designing a Session Backwards From the Behaviour

    Start from what a marketer must do on Monday: check a claim against the file, brief a creator with a disclosure, stop a send when consent is missing, record a review. Then line up objectives, activities and evidence, turn real control descriptions into target behaviours, and cut what serves none of them. Backward design is taught as practice, not as a proven method.

  3. Module 03

    Curriculum Accuracy and Keeping Material Current

    An instructor must teach rules accurately as they move. Worked examples: an FTC order set aside while the reviews rule stays in force, consent and click-to-cancel changes reversed, proposals that are not rules, a state threshold that changed and a research finding corrected. Then the currency log, and how to correct what was taught wrongly and tell past learners.

  4. Module 04

    Facilitating a Room of Creatives, Strategists and Sceptics

    A mixed agency room brings different doubts about AI: creatives worried about authenticity and sameness, buyers chasing speed, PR staff bound by a member code, principals who argue. How to use the evidence behind each concern fairly, with its limits, turn scepticism into a better session, and answer challenges without overclaiming. Facilitation here is practice.

  5. Module 05

    Running a Demonstration That Shows the Tool Failing

    Scripting demonstrations on fictional material that show the failures marketers must catch: an invented source and statistic, a cited answer that drops the qualifier, an instruction hidden in a page, a detector that flags human writing and a prediction that misleads. Preparing for a demo that will not fail, and explaining confabulation without quoting a current error rate.

  6. Module 06

    Designing Hands-On Labs on Fictional Brands, Audiences and People

    Building labs from fictional brands, claims files, customer lists and synthetic faces. Why real client data, customer lists, children's and health data never enter a lab tool, why real likenesses and voices stay out, how to use synthetic faces honestly, how to classify lab outputs at the level of their inputs, and how to run the debrief. Lab design here is practice.

MAMAC

Levels in this programme

  1. Level 1 MAMAC Level 1: AI Foundations for Marketing Professionals
  2. Level 2 MAMAC Level 2 — Certified AI Marketing Professional
  3. Level 3 MAMAC Level 3 — Advanced AI Agency Operations
  4. Level 4 MAMAC Level 4 — Master AI Marketing Agency Certification
  5. Level 5 MAMAC Level 5 — AI Marketing Automation Specialist
  6. Level 6 MAMAC Level 6 — Certified AI Marketing Instructor You are viewing this level

Independent professional education

MAMAC is an independent professional education program. It is not a government-issued credential and does not replace legal, accounting, tax, advertising, privacy, cybersecurity, or regulatory advice. AI-generated outputs require qualified human review for accuracy, originality, brand alignment, accessibility, client approval, truthful claims, and platform compliance. Client, customer, employee, and campaign data must be handled through approved systems under applicable privacy and security requirements. The program is not endorsed by Google, Microsoft, Meta, LinkedIn, TikTok, OpenAI, Anthropic, Adobe, any advertising platform, professional association, accrediting organization, regulator, or government agency. No professional education hours or approvals are claimed, and no ranking, advertising approval, lead, conversion, revenue, client-retention, campaign-performance, profitability, or return-on-investment result is guaranteed.