AINS-M6204: Autonomous Marketing Systems
Term III — Mag.AI-Marketing
Castalia Institute
Authoritative program text. Full program context and prerequisites appear in the full curriculum.
Course overview¶
Self-running marketing subsystems with human-in-the-loop boundaries and monitoring.
For complete learning objectives, artifacts, AI systems, and prerequisites, see the corresponding section in Full curriculum.
Course structure¶
The course is organized into eight lectures (below). Complete PTAH work in iNQspace, reflection through SAMWISE, and faculty challenges as your cohort defines them.
Lecture sequence¶
Eight lectures. Each includes Concept, PTAH work in iNQspace, SAMWISE reflection, and Faculty challenge as your cohort syllabus specifies.
Course overview — scope, outcomes, and how this module connects to your artifact line.
Foundations — Ontology, assumptions, and boundary conditions for this course.
Core mechanisms — Primary dynamics and formal moves your simulations must encode.
Signals & measurement — What you observe, calibrate, and log—closing the loop between model and evidence.
System integration — Connecting subsystems into one coherent, runnable world.
Stress & failure modes — Adversarial scenarios, tail risk, and brittleness—before spend gets real.
Tools, ethics & policy — MCP surfaces, consent, and governance boundaries for this course’s artifact line.
Artifact synthesis & defense — Capstone readiness: lineage, documentation, and faculty Q&A.