{"id":10837,"date":"2026-08-10T10:24:13","date_gmt":"2026-08-10T10:24:13","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-rag-llm-evaluation-test-automation-for-beginners-2025-4\/"},"modified":"2026-08-10T10:24:13","modified_gmt":"2026-08-10T10:24:13","slug":"udemy-rag-llm-evaluation-test-automation-for-beginners-2025-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-rag-llm-evaluation-test-automation-for-beginners-2025-4\/","title":{"rendered":"Udemy \u2013 RAG-LLM Evaluation & Test Automation for Beginners 2025-4"},"content":{"rendered":"
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Descriptions<\/h2>\n

RAG-LLM Evaluation & Test Automation for Beginners, LLMs are everywhere! Every business is building its own custom AI-based RAG-LLMs to improve customer service. But how are engineers testing them? Unlike traditional software testing, AI-based systems need a special methodology for evaluation. This course starts from the ground up, explaining the architecture of how AI systems (LLMs) work behind the scenes. Then, it dives deep into LLM evaluation metrics. This course shows you how to effectively use the RAGAS framework library to evaluate LLM metrics through scripted examples. This allows you to use Pytest assertions to check metric benchmark scores and design a robust LLM Test\/evaluation automation framework. By end of the course, you will be able to create RAGAS Pytest Evaluation Framework to assert the Metrics of RAG- (Custom) LLM\u2019s. This course covers Top 7 Metrics which are commonly used to Evaluate and test the LLM\u2019s. Same logic can be applied to rest of any other metric evaluations.<\/p>\n

What you\u2019ll learn<\/h3>\n