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Evaluating & Testing LLM Applications

Go beyond basic metrics. Rigorously test your LLM applications for reliability, safety, and real-world performance.

4.6

(7 reviews)

26 studentsEnglish

Created by Alex Rivera · Staff Engineer, LLM Systems

$789$1,149Save 31%

Enrol now

30-day money-back guarantee

This course includes

15 video lessons
4h 14m of content
Downloadable resources
Full lifetime access
Certificate of completion
30-day money-back guarantee

What you'll learn

Define concrete evaluation metrics for LLM applications.
Implement automated testing strategies for common LLM failure modes.
Design and execute effective human-in-the-loop evaluation protocols.
Identify and mitigate risks related to bias, toxicity, and hallucination.
Utilize frameworks like RAGAS and DeepEval for quantitative assessment.
Conduct adversarial testing to uncover edge case vulnerabilities.
Benchmark LLM application performance against established baselines.
Establish a continuous evaluation pipeline for deployed applications.

About this course

Building with Large Language Models (LLMs) isn't just about getting them to generate text; it's about ensuring those applications are robust, safe, and actually useful. This course dives deep into the methodologies and tools you need to critically assess your LLM-powered products before they hit your users. We'll cover everything from establishing clear evaluation criteria to implementing automated testing frameworks and conducting essential human-in-the-loop validation. You'll learn to identify subtle failure modes, measure bias, and ensure your application behaves predictably under diverse conditions. Stop guessing and start validating. This advanced program equips you with the practical skills to build trust and confidence in your LLM applications, transforming them from interesting experiments into reliable tools.

Course content

5 modules · 15 lessons · 4h 14m

Setting Up Your Evaluation Environment
15m

Requirements

Solid understanding of LLM fundamentals and common architectures.
Experience with Python programming and relevant libraries (e.g., LangChain, Transformers).
Familiarity with software testing principles.

Your instructor

A

Alex Rivera

Staff Engineer, LLM Systems

Alex builds and operates retrieval and agent systems in production. He writes about evaluation, latency and the unglamorous parts of shipping LLM applications.

$789$1,149Save 31%

Enrol now

30-day money-back guarantee

This course includes

15 video lessons
4h 14m of content
Downloadable resources
Full lifetime access
Certificate of completion
30-day money-back guarantee