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AI & ChatGPT for QA Engineers
Published 10/2025
Duration: 2h 41m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.16 GB
Genre: eLearning | Language: English
Learn to design, generate, and analyze tests with AI tools like ChatGPT
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
Requirements
- Basic understanding of software testing concepts
- No prior AI experience required
- Curiosity to explore new testing methods
- Access to ChatGPT or another AI tool
Description
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 howGenerative AI and ChatGPT can transform your daily QA work- from creating test cases and test data to automating reports, analyzing logs, and detecting design inconsistenciesNo fluff, no theory overload - justreal use cases and examplesthat 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 shorttheoretical quizto 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 withAI & ChatGPT for QA Engineers.
Who this course is for:
- QA engineers and software testers who want to use AI in testing
- Test automation engineers looking to speed up workflows
- Developers and team leads exploring AI-powered QA
More Info
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NitroFlare
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