Evaluation
Master agent evaluation and benchmarking. Learn to measure agent performance, test capabilities, and compare agent systems.
Prerequisites
Complete Level 8: Safety
🎯What You'll Learn
- ✓Agent evaluation frameworks and metrics
- ✓Benchmarking agent capabilities
- ✓Testing strategies for agent systems
- ✓Performance monitoring and profiling
- ✓Comparative analysis of agent architectures
💪Skills You'll Gain
🏆Learning Outcomes
📖Interactive Modules (10)
Introduction to Agent Evaluation
Introduction to agent evaluation: measuring performance, reliability, and quality.
Task Success Metrics
Define task success metrics: accuracy, completion rate, efficiency, and user satisfaction.
Agent Benchmarking
Benchmark agents against standard datasets and compare performance across models.
Reliability Testing
Test agent reliability under various conditions, edge cases, and failure scenarios.
Cost Optimization
Optimize agent costs: token usage, API calls, compute, and infrastructure.
Latency & Performance
Measure and optimize agent latency for responsive user experiences.
User Experience Metrics
Evaluate user experience metrics: usability, satisfaction, trust, and engagement.
Deployment Strategies
Learn deployment strategies: canary releases, A/B testing, gradual rollouts.
Monitoring & Observability
Implement monitoring and observability for production agents: metrics, traces, alerts.
Production Readiness Checklist
Complete production readiness checklist: safety, performance, monitoring, documentation.