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Master AI Marketing Agency Certification · Digital course

MAMAC Level 3 — Advanced AI Agency Operations

Self-paced enrollment in Level 3 of the Master AI Marketing Agency Certification: Turn individual AI skill into an agency production system: mapped workflows, written SOPs, brand and claims knowledge bases with cited retrieval, integrations into the CMS, DAM and ad platforms, sampled quality assurance, risk tiering by claim type, escalation, and honest performance measurement.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$549.00

One-time purchase
What Level 3 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

    From Task to System: The Operations View of an AI-Assisted Agency

    Level 3 opens with the shift from one careful AI-assisted task to work many people run across many clients: why volume and handoffs turn a rate into a count, how busy reviewers stop looking, how one wrong answer becomes a wrong action, why shared tools make work sound alike, and why an owner and a measured baseline come before any redesign.

  2. Module 02

    Mapping a Content, Media or PR Workflow Before Automating It

    Before any part of a workflow is automated, map it as it actually runs: the undocumented steps and exceptions, client approval loops, freelancer and vendor handoffs, the points where a person decides, the places the law already expects a control, and a measured baseline of time, rework and errors for each step.

  3. Module 03

    Risk-Tiering Agency Work by Consequence, Claim Type and Channel

    Not every AI-assisted deliverable needs the same review. This module builds a tier grid from consequence, reversibility, claim type and channel, anchors it in the FTC's substantiation factors, places health and safety claims, reviews, calls and texts, synthetic performers and California committee ads, and attaches review depth, records and re-tiering triggers to each tier.

  4. Module 04

    Writing an Agency SOP a Reviewer Can Enforce

    How to write a standard operating procedure for AI-assisted agency work that someone who was not in the room can check: steps, checks, evidence, sign-off and exceptions; a review step designed against automation bias; the endorser training and monitoring programme as a procedure; configuring the tools a procedure relies on; and testing it on a new team member.

  5. Module 05

    Building a Retrieval Corpus From Brand, Claims and Evidence Files

    How to build the document collection an agency's AI tools retrieve from: choosing brand guidelines, approved claims with their substantiation, reviewed disclosures and past work; tagging by client, claim, evidence, expiry, jurisdiction and source; tracking provenance, integrity and AI source type; and guarding against poisoned files with named owners, review and removal.

  6. Module 06

    Retrieval Failure Modes: Stale Claims, Superseded Rules and Poisoned Pages

    How retrieval goes wrong in agency work and how to limit the damage: confidently retrieved set-aside orders, vacated rules and superseded lists; drift, expired claims and the wrong client, brand or jurisdiction; poisoned web pages and unsupported claims in cited answers; and defences built from expiry tags, currency checks, deterministic limits and logging.

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 You are viewing this level
  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

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.