Learn to design, generate, and analyze tests with AI tools like ChatGPT
AI & ChatGPT for QA Engineers
What you’ll 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.
Course Content
- Introduction to Generative AI –> 4 lectures • 14min.
- ChatGPT as a QA Tool –> 3 lectures • 18min.
- Test Case Generation –> 3 lectures • 24min.
- Creating Test Data with AI –> 3 lectures • 20min.
- Automation & Code with ChatGPT –> 6 lectures • 55min.
- Analysis & Error Diagnosis with ChatGPT –> 3 lectures • 18min.
- Best Practices and Limitations –> 3 lectures • 13min.
- Exercises & Practical Tasks –> 0 lectures • 0min.
- Final Quiz –> 0 lectures • 0min.
Requirements
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.