What you'll learn
Your instructor
Priya Rajan
Staff Engineer, AI Platform, Anthropic
Priya has designed and scaled AI infrastructure.
Syllabus
The Production Gap
Map the failure modes that emerge when real traffic hits your Claude app — and build a plan to close every gap.
Cost Optimization
Reduce API spend with prompt caching, batch processing, and model routing — with real cost math.
Resilient Request Handling
Handle rate limits, overload errors, and network failures gracefully with production-grade retry and fallback patterns.
Streaming and Real-Time Delivery
Implement streaming for reliability and UX, including extended thinking and mid-stream error recovery.
Observability and Cost Tracking
Set up monitoring with the Admin API and build dashboards that surface cost anomalies and quality degradation.
Safety, Guardrails, and Going Live
Implement content moderation, configure data residency, and run through the pre-launch production checklist.
Project — Production-Ready Claude Service
Build a production-ready Claude API service with caching, resilient error handling, streaming, cost tracking, and safety guardrails.
