Title: Course Review & Reflection
Course: AIINFRA 302: AI Security, Guardrails & Governance > Section: Week 16 — Capstone Project & Course Review

💬 Course Review & Reflection (20 pts)

Initial post (due mid-week): Reflect on the single biggest shift in how you think about building with LLMs, now compared to before Week 1. Be specific — not "I learned a lot," but something like "I used to think prompt injection was a theoretical risk; now I assume every piece of untrusted text reaching my model is a potential attack surface." Address:

- What is one assumption you walked in with (from AIINFRA 300/301, or from general LLM-building experience) that this course changed or complicated?
- What's one guardrail, governance practice, or FinOps habit from this course you're most likely to actually carry into your next project — and why that one?
- What's still unresolved or uncomfortable for you about AI security and governance? (There are no wrong answers here — the field is genuinely unsettled in places.)

Peer responses (due by end of week): Respond to two classmates. Don't just affirm — engage with their specific example. If they named a guardrail practice, ask how they'd test that it's actually working. If they named an open question, offer your own take or a resource that speaks to it.

Graded with the Discussion Rubric (20 pts)

Criteria | Points
Initial post is specific and reflects genuine engagement with course arc | 10
Two substantive peer responses that engage with specifics | 8
Professional, constructive tone throughout | 2