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📊 Lesson 2-4: Evaluation & Tracing

Coming Soon

This lesson is currently under development. We're working on comprehensive content covering:

- Cost/latency metrics and monitoring
- Hallucination detection and testing
- LangSmith integration and tracing
- Performance benchmarking strategies
- Quality assurance frameworks

**Want to contribute?** Check out our [GitHub repository](https://github.com/karthikkpro/ai-agent-engineer-course) or join our discussions!

Learning Objectives

  • Understand evaluation metrics for AI agents
  • Implement comprehensive tracing and monitoring
  • Set up quality assurance frameworks
  • Master LangSmith for agent debugging

Key Topics

  • Cost Analysis: Token usage, API costs, optimization strategies
  • Latency Monitoring: Response times, bottlenecks, performance tuning
  • Hallucination Detection: Testing frameworks, validation methods
  • LangSmith Integration: Tracing, debugging, and optimization
  • Benchmarking: Standardized evaluation protocols

This lesson will be available soon. Stay tuned for updates!