Udemy – Testing AI Agents with Python: LLM Evaluation with DeepEval

Testing AI agents is not like testing ordinary code. The same input can produce different words, a confident reply can hide a wrong tool call, and a passing test suite can miss the one thing that matters: what the agent actually did. In this hands-on course you build a complete AI agent testing and LLM evaluation harness in Python, step by step, on one realistic project.

Why this course is different

• You work on one project from the first minute: a customer-support refund agent, 30 hand-labeled tickets, and a test harness you grow module by module.
• Every lab runs offline on your own machine. No API key, no cloud account, nothing to pay for.
• Every number on screen comes from a real run you can repeat, so your terminal matches the video.
• Where a real model matters, the course ships recorded gpt-4o-mini answers (five runs of every ticket), so you can study real  model behaviour without calling a model.
• Every module ends with “your turn”: one small test you write yourself, with the command that proves it.