{"id":13401,"date":"2026-08-10T10:58:48","date_gmt":"2026-08-10T10:58:48","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-rag-llm-evals-test-automation-for-beginners-2025-2\/"},"modified":"2026-08-10T10:58:48","modified_gmt":"2026-08-10T10:58:48","slug":"udemy-rag-llm-evals-test-automation-for-beginners-2025-2","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-rag-llm-evals-test-automation-for-beginners-2025-2\/","title":{"rendered":"Udemy \u2013 RAG-LLM Evals & Test Automation for Beginners 2025-2"},"content":{"rendered":"
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Description<\/span><\/h2>\n

RAG-LLM Evals & Test Automation for Beginners. This course introduces beginners to the fundamentals of automated evaluation and testing of large language models (LLMs) with an incremental retrieval-generation (RAG) architecture. As these models become increasingly popular in businesses, there is a need for a specific methodology to measure their performance. The course begins by explaining the architecture and mechanism of language models and then explores key evaluation metrics. Participants are introduced to the specialized RAGAS framework and learn how to write scripts to calculate evaluation metrics and validate the results using Pytest. The course covers seven commonly used metrics and teaches how to design an automated testing framework for single- and multi-loop interactions. It also provides methods for generating test data suitable for evaluation. The ultimate goal is to equip engineers with the skills necessary to create robust and automated evaluation systems for RAG-based language models.<\/span><\/p>\n

What you will learn<\/span><\/h3>\n