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Master AI Marketing Agency Certification · Digital course

MAMAC Level 5 — AI Marketing Automation Specialist

Self-paced enrollment in Level 5 of the Master AI Marketing Agency Certification: Build marketing automation that can be trusted with a live account: agents and orchestration, APIs and CRM integration, human-in-the-loop approvals, role-based access, prompt-injection defence, logging and monitoring, incident response and rollback, and honest ROI measurement.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$599.00

One-time purchase

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

    What an Agent May Do in a Marketing Operation: Authority and Its Limits

    Level 5 opens with authority: the three levels an agent may hold (suggest, act inside the agency, act outward only with a named person's approval), the excess that turns a fooled model into a wrong action, the written register that bounds each agent before it touches a client account, and the acts that never go to an agent at all.

  2. Module 02

    Orchestrating Client Onboarding, Briefs and Claims Intake

    How to automate the intake of briefs, brand files, claims, evidence and customer lists while people keep the decisions that matter: accepting the client, setting scope, judging substantiation before drafting, checking that lists were collected first-party, spotting data-broker risk, and recording who holds which data role.

  3. Module 03

    Orchestrating Content Calendars, Scheduled Posts and Launches

    Scheduled publishing that never removes the reviewer: approval bound to the exact version queued, generated text handled as untrusted before it reaches a CMS or platform, disclosures that survive templates and live content, election-period content under state and platform rules, and pausing a calendar cleanly before one error cascades.

  4. Module 04

    The Integration Map and Data Contracts Across the Marketing Stack

    Before an automation moves a single record, the agency maps every system it touches and every flow of personal data between them, then writes a data contract at each boundary. This module covers the map, the contract fields, pixels and hashed identifiers as disclosures, and the missing, malformed, poisoned and drifting data that turns into wrong targeting.

  5. Module 05

    Opt-Outs, Preference Signals and Consent State in the Data Flow

    An opt-out means nothing if an automation can re-target the person a day later. This module carries consent and opt-out state through every system, engineers opt-out preference signals under California, Connecticut, Colorado and Texas law, keeps opting out simple, and tests the consent tools an agency configures against what California enforcement found.

  6. Module 06

    Automated Email, Text and AI Voice Campaigns: Consent Gates

    Automated calls, texts and emails must pass consent gates before anything goes out. This module builds those gates: prior express written consent for autodialed and artificial-voice telemarketing, AI-generated voices treated as artificial voices, do-not-call and calling-hour checks, revocation by any reasonable method, and commercial email opt-outs in automated sends.

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.