Programme Structure

Course Overview

Eight modules: six Mission Briefings, a Controller Simulation module, and a Final Operational Review.

Eight modulesMission BriefingsController SimulationsHuman-reviewed final assessment

Module Sequence

01
Briefing

Foundations of Operational Marketing

Distinguish marketing operations from campaign execution and assess your organisation's operational maturity.

02
Briefing

Marketing Governance & Accountability

Design approval workflows, escalation paths, and audit trails for accountable marketing decisions.

03
Briefing

Operational Infrastructure & Connected Systems

Audit CRM, ad platform, and analytics integrations for governance and data-integrity risk.

04
Briefing

Measurement & Performance Control

Build a KPI governance framework and document the evidence basis behind every benchmark.

05
Briefing

AI Stewardship for Marketing Operations

Apply a structured human-oversight framework to AI-generated marketing recommendations.

06
Briefing

Execution Operations

Establish workflow governance, QA checkpoints, and pre-launch risk controls for campaign delivery.

07
Simulation
Preview available

Controller Simulations

Evaluate live AI recommendations and produce a defensible, evidence-based decision log.

08
Final Assessment

Final Operational Review

Conduct a full Marketing Controller review and submit your final certification assessment.

Sample Course Material

Preview the Work You'll Do

These extracts show the actual type of work learners complete throughout the certification.

Mission Briefing Extract

Evidence Standards for AI-Assisted Campaign Decisions

Before approving an AI-assisted campaign recommendation, the Marketing Controller must identify the evidence being used, the assumptions behind the recommendation, the operational risks, and the measurement standard that will determine whether the action was justified.

What Learners Review

Campaign objective
AI recommendation summary
Evidence quality
KPI relevance
Risk signals
Approval threshold

Controller Simulation

Campaign Approval Gate

Scenario

An AI system recommends increasing paid media spend by 35% for a high-performing campaign. Early results look positive, but the sample size is small, attribution confidence is limited, and the campaign includes claims that require compliance review.

Your Task

Decide whether to approve, reject, pause, or escalate the recommendation. Document your reasoning and specify what additional evidence is required.

Example Assessment Questions

01.

What evidence would you require before approving this recommendation?

02.

Which risks should be escalated before execution?

03.

Which KPI would you treat as the primary decision metric, and why?

04.

What should be documented in the audit trail?

05.

Would you approve, reject, pause, or escalate this action?

Programme Credibility

Assessment & Certification Standards

CPD-Style Professional Certification

Delivered by trainers with CPD professional development experience. Programme submitted for full CPD approval.

Human Assessor Review

AI-assisted marking with mandatory human assessor review for all final assessments.

Scenario-Based Simulations

Controller Simulations grounded in realistic operational scenarios and decision-making.

Industry-Specific Context

Adapted to your operating environment with sector-specific terminology, risks, and metrics.

Written Assessor Feedback

Detailed qualitative feedback provided by human assessors on all submissions.

Numbered Certificate

Certificate issued on successful completion with unique verification number.

Evidence-Focused Assessment

Assessment emphasises evidence quality, measurement frameworks, and data governance.

Risk & Audit Emphasis

Risk identification, approval reasoning, and audit trail accountability throughout.