18-399 Special Topics in ECE

3 units, Carnegie Mellon University

AI Project Playbook: Planning and Delivering LLM Systems gives students hands-on practice running AI/LLM projects once the product idea is already set. Working from a realistic shared scenario, students turn a fixed product vision into a concrete project plan: scope, success criteria, risks, work packages, and a lightweight delivery approach. Throughout the micro course, teams design and refine a hybrid process that draws on software and data lifecycles (e.g., agile methods and CRISP-DM), define simple product and process metrics, and add governance elements such as readiness checks and rollout decisions. A structured "pilot" simulation introduces staged issues and changes, forcing teams to adapt their process, metrics, and decisions and to explain why. The course culminates in an AI project playbook that documents the final process and lessons learned, giving students a reusable template they can carry into capstones, consulting projects, internships, and early roles on AI-enabled project teams.

Prerequisites: none listed

Courseweave needs JavaScript to show sections, workloads and planning tools.