AI Testing and Reliability Engineering

The course covers the eval mindset for non-deterministic systems, evaluation framework design (LLM-as-judge, RAGAS, golden datasets), hallucination detection and factuality testing, regression testing and prompt change management, CI/CD pipelines for AI features, load testing and latency profiling for LLM endpoints, shadow deployments and canary releases, A/B testing LLM variants, and production observability with LangSmith and Braintrust.

Unit tests assume deterministic outputs — the same input always produces the same output. LLM outputs are probabilistic: the same prompt produces different outputs across calls. The course teaches the eval mindset: shifting from pass/fail assertions to scoring distributions, golden datasets, and automated evaluation frameworks that measure quality across many outputs rather than asserting on a single one.

Yes. The production observability lesson covers LangSmith tracing and production monitoring, Braintrust experiment tracking and online evals, and Langfuse as an open-source alternative. The CI/CD lesson covers integrating LangSmith and Braintrust into GitHub Actions pipelines.

Yes, completely. There is no subscription, no credit card, and no paywall. Every lesson, every exam attempt, and every certificate is free.

Most courses take 2–5 hours of lesson reading, spread across a few sessions — check the estimated time above for this specific course. You can read at your own pace, with no time pressure until you start the exam.

After completing all lessons you unlock the exam. It is multiple choice, server-graded, with a time limit. You need 75% to pass. You have 3 attempts included.

Yes. You have 3 attempts total. After each failed attempt you can review the course before retrying. After all attempts are used, correct answers and explanations are revealed.

Every certificate has a unique ID and a public verification URL that anyone can check without an account. Employers, clients, and recruiters can verify it independently at any time.

Yes. Your certificate page includes a direct LinkedIn "Add to Profile" link that pre-fills the certification details. It takes one click.