Udemy – E2E Testing ChatBot, AI Agent, RAG, MCP Server with DeepEval

AI-powered applications are reshaping the software landscape — but how do you test them? Traditional QA methods fall short when your application thinks, reasons, and responds dynamically. This course bridges that gap. In this comprehensive, hands-on course, you’ll learn how to build a complete end-to-end testing strategy for modern AI systems — including ChatBots, AI Agents, Retrieval-Augmented Generation (RAG) pipelines, and MCP Servers — using DeepEval, the leading open-source LLM evaluation framework. Every concept is grounded in a real-world e-commerce AI chatbot application, so you’re always testing something meaningful, not toy examples.

Course covers following:

• Section 1 — Getting Started with DeepEval
• Section 2 — Running Local LLMs with Ollama
• Section 3 — LLM-as-a-Judge with Local Models
• Section 4 — Testing Real LangChain Applications
• Section 5 — Core Building Blocks: Test Cases, Datasets & Goldens
• Section 6 — Various Different Metrics + Custom Metrics
• Section 7 — Application Under Test (AUT)
• Section 8 — End-to-End Testing with Pytest + DeepEval
• Section 9 — Advanced Pytest Patterns & Automation
• Section 10 — Testing Conversational ChatBots
• Section 11 — Testing RAG Systems

Crash Course – PyTest Framework Basic to Advanced