Reliability Engineering for AI

Apply SRE principles to AI systems. Learn AI-specific SLIs / SLOs / SLAs that capture quality and safety (not just latency / availability), error budgets that include harmful-output rate and regression on safety evals, AI-aware post-incident reviews, and AI reliability runbooks that work when the failure mode is model-quality rather than infra.