E2e Testing Chatbot, Ai Agent, Rag, Mcp Server With Deepeval
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.35 GB | Duration: 12h 5m
Understand how to Evaluate the AI Apps with ChatBots, AI Agents, MCP Server, RAG with DeepEval + PyTest + Ollama
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
Requirements
Basics of Python
Eager to learn advanced futuristic way to test applications
Description
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 followingSection 1 - Getting Started with DeepEval Section 2 - Running Local LLMs with OllamaSection 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 MetricsSection 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 AdvancedWhy This Course?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.Tools & TechnologiesDeepEval · Pytest · Python · Ollama · LangChain · Jupyter Notebooks · FastAPI · Confident AI · GitHub Actions
QA,AI QA,Devs,BA,DevSecOps
E2e Testing Chatbot, Ai Agent, Rag, Mcp Server With Deepeval
