ExpertFeatured
Production AI Systems
Observability, cost, reliability, security and deployment
Take AI to production: tracing, observability, cost optimisation, caching, fallbacks, guardrails, security, prompt injection defence, CI/CD and deployment architecture.
Skills you'll gain
ObservabilityTracingCost OptimisationCachingFallbacksGuardrailsSecurityDeployment
Prerequisites
LLM ApplicationsRAGAgents
Chapters
1
Observability & TracingExpert
OpenTelemetry, spans, and seeing your LLM system in production.
32m
2
Cost & ReliabilityExpert
Caching, model routing, fallbacks, circuit breakers — the production reliability stack.
34m
3
Security & GuardrailsExpert
Prompt injection defence, input/output guards, PII redaction and the security stack.
36m
4
Context EngineeringExpert
Context window management, long-context processing, context failure modes and context security.
32m
5
AI Safety, Bias & Content ModerationExpert
Bias detection, fairness, content moderation APIs, end-user ID stamping, and red-teaming.
34m