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

<div>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.</div><div><br></div><div>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.</div><div><br></div><div>Course covers following</div><div><ul><li><span style="font-size: 1rem;">Section 1 — Getting Started with DeepEval</span></li><li><span style="font-size: 1rem;">Section 2 — Running Local LLMs with Ollama</span></li><li><span style="font-size: 1rem;">Section 3 — LLM-as-a-Judge with Local Models</span></li><li><span style="font-size: 1rem;">Section 4 — Testing Real LangChain Applications</span></li><li><span style="font-size: 1rem;">Section 5 — Core Building Blocks: Test Cases, Datasets &amp; Goldens</span></li><li><span style="font-size: 1rem;">Section 6 — Various Different Metrics + Custom Metrics</span></li><li><span style="font-size: 1rem;">Section 7 — Application Under Test (AUT)</span></li><li><span style="font-size: 1rem;">Section 8 — End-to-End Testing with Pytest + DeepEval</span></li><li><span style="font-size: 1rem;">Section 9 — Advanced Pytest Patterns &amp; Automation</span></li><li><span style="font-size: 1rem;">Section 10 — Testing Conversational ChatBots</span></li><li><span style="font-size: 1rem;">Section 11 — Testing RAG Systems</span></li></ul></div><div><br></div><div>Crash Course - PyTest Framework Basic to Advanced</div><div><br></div><div>Why This Course?</div><div><br></div><div>As AI systems move into production, the demand for engineers who can evaluate and validate LLM-powered applications is growing fast. This course gives you practical, job-ready skills using real tools on a real application — not just theory. By the end, you'll have a complete, professional-grade evaluation framework you can apply to any AI project you work on.</div><div><br></div><div>Tools &amp; Technologies</div><div><br></div><div>DeepEval · Pytest · Python · Ollama · LangChain · Jupyter Notebooks · FastAPI · Confident AI · GitHub Actions</div>

What you'll learn:

• Basic and Advanced concepts ChatBots, AI Agents and RAG systems
• Advanced ways to test ChatBots, AI Agents and RAG systems
• Basics of DeepEval
• Basics of PyTest