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LLM Evaluation and Debugging

Free

Learn how to measure and maintain quality in LLM-powered applications. This course is built for developers who already have working LLM features and want to move beyond gut feel to systematic evaluation. It assumes familiarity with LLM APIs and basic RAG, and covers intermediate to advanced material. You will design golden test sets, implement deterministic and LLM-as-judge scoring, evaluate RAG pipelines, integrate evals into CI, and debug the five categories of LLM failure. The course also covers reproducibility practices: pinning model versions, setting temperature to 0 for deterministic runs, and detecting silent provider-side drift. By the end you will have a complete eval system running against a real pipeline.

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Complete lessons in order to unlock the next — structured progression.

Eval Foundations

Understand what LLM evaluation is, why traditional testing breaks down for probabilistic systems, and where evaluation fits across the development lifecycle from prompt iteration to production monitoring.

  1. 1What Llm Evaluation Is And Why It Is DifferentTutorial
  2. 2Where Evaluation Fits In The Llm Development LifecycleTutorial
  3. 3Eval Foundations CheckQuiz

Building a High-Quality Test Set

Design a golden test set with the right coverage balance, create accurate ground truth for structured and open-ended outputs, and build adversarial and edge-case inputs that reveal real failure modes.

  1. 4Design A Golden Test Set For Llm EvaluationTutorial
  2. 5Creating Ground Truth And Labels For Llm EvalsTutorial
  3. 6Design Adversarial And Edge Case Inputs For Llm EvalsTutorial
  4. 7Test Set CheckQuiz

Scoring Methods

Implement deterministic scorers for structured outputs, design a calibrated LLM-as-judge for open-ended text, and measure retrieval quality in RAG pipelines using precision, recall, and faithfulness metrics.

  1. 8Deterministic Scoring For Structured Llm OutputsTutorial
  2. 9Llm As Judge: Using Models To Score Model OutputTutorial
  3. 10Evaluating Retrieval Quality In Rag PipelinesTutorial
  4. 11Scoring Methods CheckQuiz

Eval Infrastructure and Quality Gates

Structure evals as versioned, runnable code. Set quality gate thresholds that block deployments automatically. Track pass rates over time to detect gradual degradation, including silent model drift from provider updates.

  1. 12Eval As Code: Structure And Run Llm Evals ProgrammaticallyTutorial
  2. 13Detect Llm Regressions With Ci And Quality TrackingTutorial
  3. 14Eval Infrastructure CheckQuiz

Diagnosing and Fixing LLM Failures

Learn the five categories of LLM failure and how to identify which one you are dealing with. Systematically debug prompt-level failures using ablation testing. Trace and fix RAG pipeline and agent failures at the component level.

  1. 15The Five Categories Of Llm FailureTutorial
  2. 16Debug Prompt Level Failures SystematicallyTutorial
  3. 17Debug Rag Pipeline And Agent FailuresTutorial
  4. 18Build A Complete Eval System For An Llm PipelineTutorial
  5. 19Debugging CheckQuiz

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