Title: Outcomes & Rubrics
Course: AIINFRA 303: Capstone Project > Section: 00 · Course Information

AIINFRA 303: Capstone Project — Outcomes & Rubrics

Course Learning Outcomes

By the end of AIINFRA 303, students will be able to:

1. CLO1 — Scope, plan, and document a production-grade AI infrastructure project with clear requirements, success metrics, and architecture decision records.
2. CLO2 — Design and diagram a complete end-to-end AI system architecture integrating compute, containers, cloud, and the model/serving layer.
3. CLO3 — Implement, containerize, and deploy the system to the cloud with infrastructure-as-code and an automated CI/CD pipeline.
4. CLO4 — Integrate a model capability (serving, fine-tuning/adaptation, RAG, or an agent/MCP layer) with security guardrails, evaluation, and observability.
5. CLO5 — Load-test, right-size, document, and present a reproducible, cost-instrumented capstone with a professional portfolio artifact and demo.

Together, CLO1–CLO5 operationalize the certificate's program-level outcome of producing job-ready AI infrastructure and architecture practitioners equipped with the planning, systems-design, deployment, integration, and communication skills California employers expect.

Rubrics

1. Lab / Hands-on Assignment Rubric (50 pts)