This level is for the person who builds the thing that runs on its own. Not the copywriter using an assistant, and not the principal writing the policy, but the marketing technologist, automation specialist, or technically-minded operator who wires an assistant to a CRM, an ad platform, an analytics warehouse and a publishing system, and is responsible when it does something at three in the morning.
The material is deliberately concrete. Agents and orchestration: what an agent actually is, when a deterministic pipeline is the better answer, and how to compose steps so a failure stops rather than propagates. APIs and the marketing data plane: reading and writing through marketing interfaces, carrying consent state through a CRM integration, and keeping reported figures tied to authoritative exports. Approvals and access: designing human-in-the-loop gates that a service account cannot satisfy, role-based access and per-workflow service identities, and handling secrets. Defending the automation: prompt injection through the content a marketing pipeline necessarily ingests, output handling, excessive agency, and monitoring and alert design that a small team can actually operate. Incidents and ROI: what to do when an automation has already published, how to roll back and kill a runaway process, how to run a post-incident review that produces an upstream fix, and how to measure the return honestly including the review cost that automation creates.
Marketing automation has a specific hazard profile. Its inputs are untrusted by nature — scraped pages, inbound email, form submissions, comments, reviews, creator pitches, competitor sites — and its outputs reach consumers and spend money. Prompt injection is not a theoretical concern in this domain; it is the ordinary case, because the pipeline's job is to read text other people wrote. Every design pattern in this level assumes that.
The level ends with an implementation capstone: specify, build on fictional data, test, and evidence one automation end to end, including its threat model, its approval gates, its access model, its logging, its runbook, its rollback, and its measured effect.
This is an independent educational course offered by AI Coalition Network. It does not replace security, privacy, or legal advice, and it confers no platform certification or regulatory approval.