The 12-template downloadable kit behind every document this program has referenced by name — design-phase worksheets, evaluation and deployment checklists, and governance and coordination records — and how each one is actually used across this program's 5 real projects.
An AI engineer's actual deliverable is rarely just a model that works in a demo — it is the record proving a specific data decision, a specific evaluation result, or a specific guardrail behavior was made deliberately, so an engineering team, a security reviewer, or a budget owner can trust the system without re-deriving every decision from scratch. This module collects the twelve templates referenced throughout Modules 1 through 17 — a Model & Use-Case Feasibility Worksheet, a Prompt Design & Evaluation Worksheet, a RAG Pipeline Design Worksheet, a Fine-Tuning Dataset & Hyperparameter Worksheet, a Model Evaluation & Benchmark Report Template, an AI System Architecture Review Checklist, an AI Safety & Risk Assessment Checklist, a Deployment & Inference Cost Worksheet, a Monitoring & Observability Checklist, an AI Debug & Incident Log Template, a Data Governance & Privacy Checklist, and a Project Handoff & Runbook Template — organized into three groups that follow a real AI project's timeline.
Each template is explained here in terms of what it is for and how it is actually used across this program's five real projects, not reproduced as a blank form — the templates themselves are separate downloadable PDF files. Module 21's capstone assignment applies a working subset of this kit to a brand-new design problem.