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Testing LLMs With DeepEval, Promptfoo, RAG & CI/CD
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Testing LLMs With DeepEval, Promptfoo, RAG & CI/CD, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 9/2026
Created by Madhulika Mitra
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 23 Lectures ( 3h 59m ) | Size: 2 GB
Evaluate RAG apps, red-team for security, and automate quality gates in CI/CD — become job-ready in AI QA
What you'll learn
⚡ Explain why unit, integration, and E2E tests are not enough for generative AI
⚡ Test RAG end to end — retrieval quality and grounded generation along with agentic multi flow testing
⚡ Deepeval evaluation metrics , Promptfoo security testing
⚡ Put evaluations in CI/CD with thresholds, quality gates, and cost control
Requirements
❗ Python programming expertise and Testing fundamentals
Description
AI/LLM Testing Mastery: From DeepEval to Production CI/CD
Traditional tests can be green while your chatbot is still wrong, biased, or jailbroken. This course teaches you how to test LLM applications the way production teams actually have to: with metrics, judges, adversarial checks, and quality gates.
You will learn to evaluate correctness, relevance, faithfulness, hallucination, toxicity, bias, and security. You will test RAG pipelines and AI agents, run prompt-injection and jailbreak cases, and wire the whole suite into GitHub Actions so a bad answer can block a deploy.
We use DeepEval and Promptfoo, local models with Ollama (no API key required to learn), and finish with a portfolio-ready capstone: a support chatbot, an evaluation suite, and a CI pipeline.
You will learn how to
✨ Explain why unit, integration, and E2E tests are not enough for generative AI
✨ Score free-form answers with LLM-as-judge instead of exact string matches
✨ Test RAG end to end — retrieval quality and grounded generation
✨ Test tool selection, multi-step agents, and memory
✨ Red-team chatbots for injection, jailbreaks, and data leaks
✨ Put evaluations in CI/CD with thresholds, quality gates, and cost control
✨ Debug a failing eval: was the chatbot wrong, or was the judge wrong?
Includes hands-on labs, homework after each module, and a GitHub project.
Who this course is for
⭐ QA engineers, SDETs, and testers moving into AI quality roles
Homepage
https://www.udemy.com/course/testing-llms-with-deepeval-promptfoo-rag-cicd
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