AI Engineering · 400-level

Evals & Quality Systems

AIE-4013 creditscorebadge: evaluatorprereqs: AIE-203, AIE-301
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What's inside

Sections & lessons

01

Golden datasets & rubric design

  • Writing the 20 cases a system must passconcept45 min
02

Code graders vs. LLM-as-judge

  • Deterministic checks next to a judge model, run togetherconcept60 min
03

The disagreement heat-map

  • Where the code grader and the AI judge part waysconcept60 min
04

Grader-hacking

  • Crafting an output that fools the judge but still fails the code graderconcept60 min
05

Reward-model bias & judge drift

  • Teaching a simple reward model your own bias, then seeing itconcept60 min
06

Quiz: eval-design judgment

  • Checkpoint on rubric gaps and grader-hacking riskconcept30 min
07

Lab + eval-gate: golden set + grading suite

  • 20-case golden set, two graders, threshold pass (Evaluator badge)concept120 min
AI Engineering

Next in this path

Where this specialization goes from here — in (level, code) order.

  • AIE-402

    LLMOps: Cost, Latency, Observability

    3 creditselectivebadge: operator
    Start
  • AIE-403

    AI System Design

    3 creditselectivebadge: architect
    Start
  • AIE-490

    Capstone: Ship & Evaluate an AI System

    4 creditscapstonebadge: ai-engineer
    Start
Vocabulary

Key concepts in this course

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