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Free LLMOps course

LLMOps for Reliable AI Applications

Module 01

What Reliability Means for LLM Applications

Help learners understand this topic clearly, practice it on a small example, and produce reviewable evidence before moving to the next module.

Units

  1. Unit 01.00: What Reliability Means for LLM Applications: Connect the user task to a measurable failure mode
  2. Unit 01.01: What Reliability Means for LLM Applications: Create eval cases, fixtures, and acceptance checks
  3. Unit 01.02: What Reliability Means for LLM Applications: Capture traces, metrics, logs, latency, and cost notes
  4. Unit 01.03: What Reliability Means for LLM Applications: Review regressions, red-team cases, and release gates
  5. Unit 01.04: What Reliability Means for LLM Applications: Write the reliability recommendation

Module work