Testing AI Systems with DeepEval: AI Agents, Chatbots & RAG
What you'll learn
- Understand the fundamentals of AI Testing and how it differs from traditional software testing approaches.
- Set up and use the DeepEval framework to evaluate AI Agents, Chatbots, and RAG (Retrieval-Augmented Generation) applications.
- Measure AI system quality using industry-standard evaluation metrics such as Answer Relevancy, Faithfulness, Precision, Recall, and G-Eval.
- Create and manage Golden Datasets to build reliable and repeatable AI evaluation pipelines.
- Perform trace-based and component-level testing to identify issues within AI agent workflows and reasoning chains.
- Build custom AI evaluation metrics tailored to real-world business and product requirements.
- Test multi-turn chatbot conversations and validate contextual understanding across complex interactions.
- Evaluate RAG applications by assessing retrieval quality, context utilization, response relevance, and factual correctness.
- Generate synthetic test data to improve AI evaluation coverage and reduce manual effort.
- Perform AI Safety Testing to detect harmful, biased, unsafe, or undesirable model outputs.
- Learn and apply Python for AI testing automation, with Python fundamentals covered as part of the course for beginners.
Requirements
- Python basics are required. But wait! we have a dedicated sections at the end of this course which gives you necessary knowledge on Python & Pytest required to follow the course.
Description
Course Remade in June 2026 with latest Deep Evals Framework -- ~~Artificial Intelligence is rapidly transforming software applications, and traditional testing approaches are no longer enough to validate the quality of AI-powered systems. Whether you are working with AI Agents, Chatbots, Copilots, or Retrieval-Augmented Generation (RAG) applications, ensuring accuracy, reliability, safety, and performance has become a critical skill for modern QA and Engineering teams.
In this course, you will learn how to systematically test and evaluate AI systems using DeepEval, one of the most powerful open-source frameworks designed specifically for AI evaluation. Starting from the fundamentals, you will build a strong understanding of AI testing concepts and gradually progress toward implementing real-world evaluation strategies used in production AI applications.
Throughout the course, you will learn how to measure the quality of AI-generated responses using industry-standard evaluation metrics, create and manage Golden Datasets, perform trace-based analysis, validate AI agent workflows, and build custom evaluation metrics tailored to your business requirements. You will also explore G-Eval, component-level testing, multi-turn chatbot evaluations, and advanced techniques for assessing conversational AI systems.
The course further dives into testing Retrieval-Augmented Generation (RAG) applications by evaluating retrieval quality, response relevance, context utilization, and factual correctness. In addition, you will learn how to generate synthetic test data, automate evaluation workflows, and perform AI safety testing to identify harmful, biased, or unsafe outputs before they impact users.
By the end of this course, you will be able to design and implement comprehensive AI testing frameworks for AI Agents, Chatbots, and RAG applications using DeepEval. Whether you are a QA Engineer, Automation Tester, SDET, AI Engineer, Developer, or technology enthusiast, this course will equip you with practical, hands-on skills that are increasingly in demand as organizations adopt AI-powered solutions at scale.
Join me on this journey and learn how modern AI systems are tested, evaluated, and validated in the real world.
Who this course is for:
- Software Engineers
- Quality Assurance Engineers
- Software Testers
Instructor
"Nothing is Impossible. It all depends on how we are Trained on it."
"Teaching is my Passion. And it's my Profession. The only Business I know is Spreading Knowledge."
I'm Rahul Shetty (aka- Venkatesh), a QA instructor with a 15-year track record. Over 1 Million QA professionals from 195 countries have taken my courses on Selenium, Playwright, AI Testing, Software Testing (Jira), API Testing, Cypress, Postman, Appium, JMeter, and more..."
I lead top QA initiatives both online and offline — through Rahul Shetty Academy, one of the leading EdTech platforms for QA training; QASummit, a premier offline conference brand; and RS TekSolutions, my software consulting firm. Together, these ventures have helped hundreds of thousands of students master testing and automation, transforming their careers as Automation Engineers
"Many QA professionals aspire to learn cutting-edge automation, but 90% abandon their goals. It's not a lack of courses, but finding the right mentor who understands the QA mindset and tailors their teaching accordingly."
"As a QA engineer with nearly two decades of experience, I get it. I've built my courses strategically, focusing on practical skills and career growth. I believe I've cracked the code for teaching automation testing, and I'm thrilled to share it with you."
"My online courses are the most comprehensive available. You gain not only up-to-date, job-relevant knowledge but also a lifelong mentor who's helped countless QA engineers level up."
There isn't a day when I don't receive student success emails from across the globe about landing a new job, how my courses have changed their lives and career for the better and how they are respected and appreciated at the workplace after gaining new knowledge and experience from my course.
"Join my courses and gain the skills and mentorship to achieve your QA career goals!"