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Master AI Marketing Agency Certification · Level 1

AI Foundations for Marketing Professionals

Build a responsible AI foundation for strategy, branding, content, search, advertising, social media, email, multimedia, creative operations, client service, projects, sales, analytics, automation, security, finance, and agency leadership.

Level
1
Modules
23
Estimated time
23 hours
Curriculum
Version 2026.2

Course outline

What the curriculum covers

Each module connects practical marketing capability to originality, transparent claims, client confidentiality, privacy, platform-policy awareness, source verification, human creative direction, approvals, auditability, escalation, and accountable decisions.

Module 01

Artificial Intelligence Fundamentals

Understand machine learning, generative and multimodal AI, reasoning models, language models, computer vision, voice, agents, automation, hallucinations, responsible use, human oversight, and emerging trends.

Module 02

Modern Marketing Fundamentals

Connect AI use cases to strategy, customer journeys, personas, segmentation, positioning, value propositions, funnels, conversion, acquisition, retention, lifetime value, KPIs, campaign planning, and integrated marketing.

Module 03

Ethics, Privacy and Responsible AI

Protect clients and audiences through bias controls, transparency, confidentiality, privacy, copyright and trademark awareness, disclosure, governance, vendor review, human approval, documentation, and retention.

Module 04

Prompt Engineering for Marketing

Create reusable, tested prompts for brand voice, campaigns, SEO, advertising, email, social media, video, images, research, analytics, creative review, and controlled prompt libraries.

Module 05

Agency Strategy

Apply AI to business planning, service packaging, pricing, competitive analysis, client acquisition, sales funnels, proposals, discovery, operations, scaling, ROI planning, and agency KPIs.

Module 06

Branding

Support brand strategy, mission, vision, values, messaging, personality, voice, visual identity, logo direction, style guides, naming, audits, positioning, and accountable human creative review.

Module 07

Content Marketing

Plan and review editorial calendars, research, articles, white papers, case studies, landing pages, guides, lead magnets, email, podcast and video scripts, repurposing, quality, and accuracy.

Module 08

Search Engine Optimization

Apply keyword, intent, technical, on-page, internal-link, content-cluster, local, schema, business-profile, metadata, sitemap, search-console, AI-search, and content-quality concepts without guaranteeing rankings.

Module 09

Paid Advertising

Support campaign planning across major advertising platforms, audience targeting, creative testing, budgets, conversion tracking, landing pages, reporting, optimization, policy checks, and accountable human approval.

Module 10

Social Media Marketing

Plan channel-appropriate content, communities, social listening, outreach, calendars, analytics, engagement, and repurposing across major social platforms with human moderation and platform-policy review.

Module 11

Email Marketing

Build consent-aware welcome, nurture, sales, newsletter, lifecycle, segmented, personalized, automated, deliverability, testing, and performance-analysis workflows with approval and opt-out controls.

Module 12

Video and Multimedia Marketing

Support video planning, scripts, short- and long-form production, channel optimization, podcasts, voice AI, captions, accessibility, editing, publishing, and qualified creative review.

Module 13

Graphic Design and Creative Workflows

Improve creative briefs, hierarchy, typography, color, accessibility, infographics, presentations, design systems, brand consistency, creative QA, AI-image review, and human design direction.

Module 14

Client Management

Improve discovery, requirements, onboarding, scope, kickoffs, communication, agendas, notes, change requests, approval workflows, satisfaction, renewals, upselling, and documented client decisions.

Module 15

Project Management

Organize tasks, milestones, resources, schedules, dependencies, risks, deliverables, status reporting, quality assurance, dashboards, lessons learned, accountable owners, and client approvals.

Module 16

Sales and Business Development

Support lead qualification, scripts, proposals, pricing, negotiation, pipelines, CRM workflows, forecasting, referral programs, and retention without fabricating demand, results, or customer intent.

Module 17

Marketing Analytics

Build reviewed traffic, lead, conversion, acquisition-cost, return-on-ad-spend, marketing-ROI, executive-dashboard, business-intelligence, trend, and reporting workflows from verified source data.

Module 18

AI Automation

Map and automate CRM, email, reporting, social, content, knowledge, tasks, and API-enabled workflows with permissions, human approvals, audit logs, exception handling, monitoring, and rollback plans.

Module 19

Building AI Marketing Agents

Design narrowly scoped SEO, content, copywriting, branding, advertising, analytics, social, email, proposal, client-success, research, sales, and reporting agents with permissions, logs, output checks, escalation, and clear limitations.

Module 20

Cybersecurity for Agencies

Protect client data and agency systems through strong authentication, encryption, secure sharing, phishing and ransomware defenses, prompt-injection controls, vendor security, incident response, and business continuity.

Module 21

Finance for Agencies

Understand pricing, margins, project profitability, retainers, subscriptions, cash flow, forecasts, expenses, budgets, and executive dashboards with qualified accounting review and no revenue guarantees.

Module 22

Leadership and Agency Growth

Lead hiring, training, performance, team scaling, department design, executive KPIs, business planning, strategic growth, change management, governance, and responsible AI adoption.

Module 23

Future of AI Marketing

Evaluate autonomous agents, predictive marketing, personalization, voice and visual search, synthetic media, AI search engines, automation, emerging regulation, workforce effects, and continuous learning.

Learning outcomes

What you will be able to do

  • 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.
  • Plan secure integrations and narrowly scoped agents around approved client systems, verified marketing data, current platform requirements, and accountable owners.
  • Build an agency AI adoption roadmap with governance, cybersecurity controls, team training, client communication, performance metrics, implementation priorities, and measurable value.

Assessment

Level 1 Final Comprehensive Examination

The final assessment measures how well you apply the curriculum to realistic strategy, branding, creative, SEO, advertising, social, email, analytics, client, project, automation, security, financial, and leadership scenarios.

Questions
30
Time limit
120 minutes
Passing score
80%
Maximum attempts
3

Lead responsible AI adoption in marketing

Start with the vendor-neutral foundations, creative-review controls, and agency workflows covered across the complete Level 1 curriculum.

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.