Reliability, SLOs, and Incident Management for GenAI Systems

GenAI systems can look healthy while quietly failing: latency spikes, retrieval returns low-value context, quality drifts, and costs climb until users complain.
What you'll learn
GenAI systems can look healthy while quietly failing: latency spikes, retrieval returns low-value context, quality drifts, and costs climb until users complain. In this course, Reliability, SLOs, and Incident Management for GenAI Systems, you'll gain the ability to operate production GenAI systems with measurable reliability and a repeatable incident process. First, you'll explore reliability fundamentals, failure mode analysis, and health checks plus synthetic monitoring for GenAI components. Next, you'll discover how to define SLIs, set SLOs, and translate them into SLA inputs using error budgets. Finally, you'll learn how to implement resilience patterns, run chaos tests, and execute incident response and continuous improvement practices. When you're finished with this course, you'll have the skills and knowledge of GenAI reliability engineering needed to keep systems stable under real-world load and failures.
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