CHATGPT for Software Testing | Generative AI (Udemy.com)
Learn how to use Chat GPT for day to day work in Software Testing. CHAT GPT for Programming and Testing
Created by: Dan Andrei Bucureanu
Last updated October 2025
What you will learn
- How to use ChatGPT for Quality Engineering
- Improve Test automation with ChatGPT
- Setup CI/CD pipelines with ChatGPT
- Improve efficiency of working with CHATGPT
- Perform validation for stories with Generative AI
- Create an automated Playwright testing Framework with GPT 40 and CANVAS
- Learn how to understand SQL and generate Test Data with Chat GPT
- Generate and manipulate large Data Sets with AI Chat GPT
- Create a full performance test framework with Jmeter in the cloud
- Understand Basic Machine learning Methods
- Build your own GPT and publish it to Marketplace
- Connect to GTP with the help of the Rest API
- Learn how to use ChatGPT to write BDD scenarios
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.3 out of 5higher than 20% of them
- Reviews1,148#364 of 1,183 by number of reviews
- Length8.5 hourslonger than 65% of them
- Last updatedOctober 2025more recently than 57% of them
Course Description
This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.
Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models.
Topics:
Understanding Generative AI: An overview of Generative AI and its applications in software testing and quality assurance.
Automated Test Generation: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage.
Automated User Story Creation: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process.
Test Data Creation: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort.
Code Investigation: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies.
Code Explanation: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality.
Boosting Productivity: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times.
See how to create a Performance testing Framework with CI/CD on cloud with AI
Crate your own custom GPT and publish it in the GPT Store
Understand Machine Learning and basic AI Concepts
Connect to the OpenAI Backend with the help of the REST API.
Instructor Details
- 4.3 Rating
1,148 Reviews
Dan Andrei Bucureanu
Hi there, I'm Dan, and I have a genuine passion for software engineering and built-in quality.
Over my 20-year career, I've witnessed the rise and fall of various technologies, experiencing the good, the bad, and the challenges of building high-quality products. I've spent most of my career in the quality engineering space, with occasional roles such as software developer and application architect, where I've had the opportunity to explain complex topics to a less technical audience.
Even today, as an executive at a technology company, my passion remains unwavering for quality engineering, and more precisely, for spreading the word to all engineering teams on how to conduct testing effectively in modern times.
I have led more than 300 talented engineers and have personally overseen their career growth. I truly believe in empowering people and helping them to develop; this belief is also why I have decided to teach. Regarding projects, I have completed more than 100 projects across all major industries.
I am certified in all relevant quality engineering accreditations and practice what I preach. I constantly learn and explore new technologies
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Reviews
By Imola Mészár on 8/27/2025
This course is a good starting point for beginners who have never been exposed to GPT, AI, or have absolutely no prior knowledge in the field. At the beginning, there is a large amount of information on topics like machine learning, its types, tokenization, and NLP. However, it is not clearly explained why these concepts are introduced or how they connect to the main subject of the course. Students need to reach at least sections 4–5 before encountering content that feels directly relevant. A suggestion would be to explain upfront why it is important to understand ML types or what a token is, and how these topics will help later in the course. Additionally, while it is understandable that English is not the instructor’s native language, in some cases it was difficult to follow the explanations. For example, the term “chain of thought” was pronounced in a way that I misheard as “chain of FAT”, which led me to think about file systems instead. Also, please avoid pronouncing Jira as “Djaira”; the correct pronunciation is “Jee-ra”. Finally, a few videos should be updated. For instance, some still reference GPT-3.5, while we are now at GPT-5. Of course, I understand that the field evolves rapidly, but keeping the material up to date would add significant value.
By Luis Anaya on 10/6/2024
this resembles pretty much other existing courses. However this covers specific stuff that in other paths are generic. Awesome !
By Luis Felipe Pereira de Freitas on 9/17/2024
It was a good course that taught me a lot of things I didn't know already, but the most interesting parts of the course required a subscription to chatGPT plus, which is fine, but I think a disclaimer in the overview would have been nice
By Richa Mishra on 7/11/2024
It's very engaging and informative. Thanks for this course .I want to keep it going
By Leonardo Miro on 7/11/2024
It's a four stars course but the chapter referred to the performance project is the extra that makes it worth the while. Still cannot believe that ChatGPT was understanding the requests even with the misspells. Hope AI gets way better and we take advantage of it
By Manish Singh on 4/30/2024
This course is beneficial for those who can make better use of AI and ChatGPT in their career life. Highly recommended from my side.
By Aušrinė Kvederavičiūtė on 3/28/2024
I recently completed the CHATGPT for Software Testing course on Udemy, and I must say it was incredibly insightful and engaging. The instructor did an excellent job of explaining concepts in a clear and understandable manner. It was interesting to discover how artificial intelligence can revolutionize software testing processes, making them more efficient and effective.
By Nusrat Ahmed Asha on 1/21/2024
A good starting point for beginners. Problem is, I found this course is not a well structured course. I was in API chapter suddently I jumped to selfhealing code section then jumped to concept understanding !!! Trainer should worked on the structure of this course.
By Balaji Rameshbabu on 7/25/2023
As a beginner, this course paved way to understand, what is now needs to be learned as a skill, Prompt engineering. I had about my doubts on the course of the content but section 5 made it very clear and interesting. Thank you.
By Afranio Dimas da Silva on 7/10/2023
I initially gave the course 4 stars due to my final impression. However, a few days later, I received feedback from the professor that he had added more content and a chapter concluding the course in a better way. For this reason it was not possible to keep the original 4 stars but give it 5 stars. I recommend this course without a doubt.
Quality Score
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Overall Score : 86 / 100











