Module 8 Overview#
Theme#
Deployment business case
Essential Question#
How should leaders decide whether to launch?
Module Components#
Book prose: conceptual framing, domain scenario, methods, and failure modesAssignment: evidence-backed production of a specific artifactSlides: presentation sequence for seminar or lecture deliveryNarration: spoken version of the slide flowInstructor notes: facilitation plan, discussion prompts, and grading cuesRubric: criteria for evaluating the module artifactNotebook: executable lab aligned with the module theme using synthetic project telemetry with scope volatility, evaluation results, risks, adoption readiness, and operational load
Module Artifact#
deployment decision package with project charter, acceptance gates, risk log, and monitoring plan focused on deployment business case: Present a deployment recommendation with costs and risks.
Professional Setting#
Students work as if advising a delivery team deciding whether an AI project should move from experiment to deployment. Their work must be intelligible to project sponsor, product owner, ML lead, operations manager, and governance reviewer.