AI & ChatGPT for QA Engineers: Software Testing & Automation (Udemy.com)
Generate test cases, test data and test automation with ChatGPT, Playwright, Cypress, Selenium, Postman and AWS labs
Created by: Rafał Podraza
Last updated August 2026
What you will learn
- Use AI and ChatGPT in QA
- Generate test cases with AI
- Create realistic test data
- Analyze logs and test results
- Write QA reports with ChatGPT
- Apply basic Prompt Engineering
- Automate tests with AI tools
- Detect design and UI issues
- Identify and reduce AI risks
- Improve efficiency in software testing
How it compares
Against the other 281 rated Udemy courses in Software Testing on CourseDuck:
- Rating4.5 out of 5higher than 51% of them
- Reviews424#186 of 282 by number of reviews
- Length4 hoursshorter than 68% of them
- Last updatedAugust 2026more recently than 93% of them
Course Description
This course contains the use of artificial intelligence.
AI & ChatGPT for QA Engineers
Learn how to use Artificial Intelligence and ChatGPT to design, generate, and analyze software tests effectively.
Welcome to “AI & ChatGPT for QA Engineers” – the ultimate hands-on course for software testers and QA professionals who want to master practical AI applications in software testing.
In this course, you’ll discover how Generative AI and ChatGPT can transform your daily QA work — from creating test cases and test data to automating reports, analyzing logs, and detecting design inconsistencies
No fluff, no theory overload – just real use cases and examples that you can apply immediately in your projects.
What You’ll Learn
How Generative AI and ChatGPT support each phase of the testing lifecycle
How to generate functional, visual, and API test cases from requirements or designs
How to create realistic and reusable test data using AI
How to analyze logs, detect issues, and summarize test results with ChatGPT
How to use AI for documentation, reporting, and error diagnostics
Prompt Engineering techniques for precise and reliable outputs
How to apply AI to test automation tools such as Cypress, Playwright, Selenium, and Postman
How to identify and mitigate AI-related risks such as bias, hallucinations, and data privacy issues
Ethical principles and best practices for responsible AI use in QA
Practical Exercises
The course includes hands-on exercises where you will:
Generate and optimize test cases with ChatGPT
Identify design and UI inconsistencies using AI
Perform accessibility and UX analysis with AI tools
Create automated summaries and QA improvement reports
Practice prompt optimization for better results
You will also complete a short theoretical quiz to test your understanding of AI-driven QA.
Who This Course Is For
QA engineers and software testers who want to implement AI in daily testing activities
Automation testers who want to speed up test design and documentation
Developers and leads interested in AI-powered quality assurance
Beginners who want to learn how ChatGPT can assist in software testing
No previous AI experience is required – all concepts are explained clearly and step by step.
Why Take This Course
Focus on practical, real-world QA applications
Designed specifically for testers and QA professionals
Based on real tools and workflows used in the industry
Includes exercises, examples, and realistic case studies
Helps you save time and improve accuracy in your testing process
Start Learning Today
Use the power of AI to improve your QA workflow.
Learn how to generate test cases, analyze results, and create reports faster and smarter with AI & ChatGPT for QA Engineers.
Instructor Details
- 4.5 Rating
424 Reviews
Rafał Podraza
EN
I am a QA Engineer, Udemy Instructor Partner, content creator, and book author with professional experience in software testing, test automation, software quality, and modern IT technologies.
Since 2021, I have published more than 70 online courses, generating over 85,000 course enrollments and reaching more than 60,000 learners. Several of my courses have achieved bestseller status on Udemy.
My courses cover software testing, test automation, artificial intelligence, ChatGPT, GitHub Copilot, DevOps, cloud technologies, programming, project management, and risk management.
I focus on practical knowledge that students can immediately apply in their daily work. My courses include real-world examples, demonstrations, exercises, and scenarios inspired by challenges encountered in professional IT projects.
My goal is to explain complex topics clearly and help students develop practical skills, gain confidence, and advance their careers.
Join one of my courses and start learning through practice.
PL
Jestem QA Engineerem, Udemy Instructor Partner, twórcą treści oraz autorem książki. Posiadam doświadczenie zawodowe w zakresie testowania oprogramowania, automatyzacji testów, zapewniania jakości oraz nowoczesnych technologii IT.
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Reviews
By Matthew Parker on 8/14/2026
I was already using ChatGPT occasionally for QA tasks, but mostly in a very basic way. This course gave me a better idea of how to structure prompts and use AI more effectively during testing. Practical and easy to follow.
By Rebecca Collins on 8/14/2026
What I liked is that this isn’t just another general introduction to AI. Most of the examples are actually related to testing, so it was easy to see where I could use them at work. Some simple ideas ended up saving me quite a bit of time.
By Michał Gutek on 8/1/2026
Jeśli traktujemy jako podstawy podstaw to ok. Ale jeśli już ktoś miał doświadczenie z AI, agentami itd to bedzie zawiedziony. Nie wiem czy są jeszcze osoby w branży które nie miały styczności z AI. Jeśli tak to im się przyda.
By Emma Richardson on 5/24/2026
Very interesting course for QA engineers who want to understand how AI can actually help in testing. I liked the practical examples with test cases, bug reports, and automation support. It gave me a lot of ideas I can use at work.
By Michael Turner on 5/24/2026
Great balance between AI concepts and practical testing workflows. The instructor explains things in a simple and natural way, which makes even more technical topics easier to understand. Definitely worth watching if you work in QA.
By Ramesh Babu on 5/21/2026
I purchased this course hoping for advanced, practical content — but unfortunately it's stuck at the basics. The instructor spends time explaining how to use ChatGPT prompts, which honestly any beginner picks up within an hour of using the tool. In today's world, testers are working with Claude Code that reads entire project folders and rewrites code, Playwright MCP integrated via CLI, and full agentic testing pipelines. That's the level this course should be at. To be a credible instructor for this topic, you need to have actually tested these tools in real projects — not just demo ChatGPT prompts on screen. I'd recommend a complete curriculum upgrade covering: ChatGPT + Playwright advanced workflows, Claude Code for full project automation, MCP + CLI integration, and real end-to-end testing use cases. Until then, hard to recommend this to anyone beyond a complete beginner.
By Sebastian Klein on 2/6/2026
Der Kurs zeigt sehr praxisnah, wie man ChatGPT sinnvoll im QA-Alltag einsetzen kann. Besonders hilfreich waren die Beispiele zur Testfallerstellung und Analyse von Anforderungen. Kein KI-Hype, sondern konkrete Unterstützung für die tägliche Arbeit.
By Johannes Keller on 12/12/2025
Ein sehr klar strukturierter und kompakter Kurs. Die wichtigsten DevOps-Konzepte wie CI/CD, Automatisierung und Monitoring werden verständlich erklärt. Perfekt für alle, die einen schnellen, aber fundierten Einstieg suchen.
By Patrick Lorenz on 12/12/2025
Kurz, präzise und gut erklärt. Der Dozent schafft es, komplexe Themen leicht verständlich zu vermitteln. Besonders hilfreich fand ich die Erläuterungen zu Deployment-Pipelines und Automatisierung. Ein wirklich solider Grundlagenkurs.
By Judyta Odrobińska on 10/19/2025
This course gives a great overview of how AI can support testers in their daily work. It explains how to use AI effectively, covers real-world use cases, and shows examples like generating test cases from requirements. In this course you’ll also learn how AI can assist with writing automated tests using tools like Cypress, Playwright, Selenium, and Postman. The course touches on important topics like: AI limitations, data privacy, prompt writing, and log analysis. It’s a practical and up-to-date course that clearly shows how AI can boost productivity in software testing. Definitely worth taking!
Quality Score
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Overall Score : 90 / 100







