Mastering LLM Evaluation: Build Reliable Scalable AI Systems

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Master the art and science of LLM evaluation with hands-on labs, error analysis, and cost-optimized strategies.

What you will learn

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Understand the full lifecycle of LLM evaluation—from prototyping to production monitoring

Identify and categorize common failure modes in large language model outputs

Design and implement structured error analysis and annotation workflows

Build automated evaluation pipelines using code-based and LLM-judge metrics

Evaluate architecture-specific systems like RAG, multi-turn agents, and multi-modal models

Set up continuous monitoring dashboards with trace data, alerts, and CI/CD gates

Optimize model usage and cost with intelligent routing, fallback logic, and caching

Deploy human-in-the-loop review systems for ongoing feedback and quality control

Enroll for Free

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