Free Coupon Code How to test or Evaluate Gen AI, LLM, RAG, Agentic AI 100% OFF

Udemy Free coupon code for How to test or Evaluate Gen AI, LLM, RAG, Agentic AI course taught by Soumen Kumar Mondal, which has 1,284 students and is rated 4.2 out of 36 votes. This course is about 2 hour(s) 47 minute(s) in English and was updated on January 10, 2026. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Mastering LLM Evaluation: learn how to test RAG , Agentic AI using Ragas, DeepEval, LangSmith. Learn how to test GenAI.

Evaluating Large Language Model (LLM) applications is critical to ensuring reliability, accuracy, and user trust—especially as these systems are integrated into real-world solutions. This hands-on course guides you through the complete evaluation lifecycle of LLM-based applications, with a special focus on Retrieval-Augmented Generation (RAG) and Agentic AI workflows.

You'll begin by understanding the core evaluation process, exploring how to measure quality across different stages of a RAG pipeline. Dive deep into RAGAs—the community-driven evaluation framework—and learn to compute key metrics like context relevancy, faithfulness, and hallucination rate using open-source tools.

Through practical labs, you'll create and automate tests with Pytest, evaluate multi-agent systems, and implement tests using DeepEval. You'll also trace and debug your LLM workflows with LangSmith, gaining visibility into each component of your RAG or Agentic AI system.

By the end of the course, you’ll know how to create custom evaluation datasets and validate LLM outputs against ground truth responses. Whether you're a developer, quality engineer, or AI enthusiast, this course will equip you with the practical tools and techniques needed to build trustworthy, production-ready LLM applications.

No prior experience in evaluation frameworks is required—just basic Python knowledge and a curiosity to explore.

Enroll and learn how to evaluate or test Gen AI application.