Propel AI Bootcamp
Course 2 - Module 5

Production AI Systems

Monitor, debug, and optimize production AI systems

Learning Objectives

  • Monitor and debug production AI systems
  • Implement observability at scale
  • Optimize costs and security in production

Overview

Bridge theory to real-world deployment and operational excellence.

Topics Covered

Observability

  • DataDog LLM Observability
  • LangSmith tracing
  • OpenInference standards

Debugging

  • Production agent debugging
  • Structured logging patterns

Optimization

  • Token usage optimization
  • Caching and batching
  • Latency reduction

Security

  • SAIF framework
  • Production hardening

Resources

Check Your Understanding

Question 1 of 1

What is a key metric for production AI observability?