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Udemy – How to Test and Evaluate AI Agents – an introduction 2025-11

Updated August 10, 2026 2.8 GB
Udemy – How to Test and Evaluate AI Agents – an introduction 2025-11

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Description

How to Test and Evaluate AI Agents – an introduction is a course on how to measure, analyze, and improve the performance of AI agents published by Udemy Online Academy. This is a foundational course that helps learners understand how to measure, analyze, and improve the performance of AI agents. The course provides a practical framework for evaluating AI systems across a variety of use cases, focusing on accuracy, reliability, responsiveness, and ethical behavior. This course is ideal for AI developers, data scientists, and anyone building or managing intelligent agents who want to ensure their systems perform optimally in real-world situations.

This course introduces key evaluation metrics such as accuracy, recall, latency, and user satisfaction, while explaining how to design test cases for AI models and multi-agent systems. This course explores qualitative and quantitative evaluation methods, with an emphasis on benchmarking, A/B testing, and stress testing to ensure robustness. Students will also study common problems in AI evaluation, such as data bias and overfitting, and learn how to interpret results to modify system behavior. By the end, students will have a clear understanding of how to design testing pipelines, use evaluation frameworks, and apply best practices to maintain performance and reliability in AI agents.

What you will learn in How to Test and Evaluate AI Agents – an introduction:

  • Understand the basics of AI agent testing
  • Design and execute systematic AI agent tests
  • Implement RAG (Recovery-Augmented Generation) evaluation
  • Understand functional testing of AI agents
  • Understand non-functional testing of AI agents
  • Understand how to evaluate goal completion criteria
  • Understand how to evaluate task completion criteria
  • Understand how to evaluate plan creation criteria
  • Understand cost and efficiency evaluation
  • And…

Course specifications

Publisher: Udemy
Instructors: Dan Andrei Bucureanu
Language: English
Level: Introductory to Advanced
Number of Lessons: 43
Duration: 3 hours and 54 minutes

Course topics

How to Test and Evaluate AI Agents - an introduction Content

How to Test and Evaluate AI Agents – an introduction Prerequisites

Will do learn
Curisity
Basic AI know how
Basic Testing Experience
Basic Software know how
no coding experience needed

Pictures

How to Test and Evaluate AI Agents - an introduction

How to Test and Evaluate AI Agents – an introduction introduction video

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Quality: 720p

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Download Part 3 – 840 MB

Rapidgator link

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Download Part 2 – 1 GB

Download Part 3 – 840 MB

File password (s): www.downloadly.ir

Size

2.8 GB