Các Công Cụ Kiểm Thử Phần Mềm: GenAI Và Những Công Cụ Khác Mọi QA Cần Biết

Hi everyone. This course is about Manual Software Testing tools, tools that do not include automation, but help to improve the work of a manual tester.
The course will be useful for testers:

1. Absolute beginners in Software Testing who want to learn the most popular software testing tools that every QA uses to work.
2. Experienced software testers who want to recall the basic usage of Software Testing Tools, and learn something new in this topic.
3. Experienced Manual Software Testers who want to learn how to automate test cases with the help of Generative AI (ChatGPT/CursorAI) in a short time
4. Anyone who wants to take the first steps in Software Automation Testing with the help of ChatGPT/CursorAI

The main task of the course is to deepen knowledge about manual testing tools and to assist testers in different aspects and needs of their work.

For that reason, we prepared 4 things:

1. An overview of the main tools for Manual Software testing by category, such as:

• AI Tools for Manual Software Testing

• Web Testing Tools

• Automation Testing Tools with the help of ChatGPT

• Automation Testing Tools with the help of CursorAI

• Mobile Testing Tools

• API Testing Tools

• Accessibility Testing Tools

• Capture Networking Traffic Tools

2. Explanation of several tools for each category, such as:

• ChatGPT, CursorAI, Gemini AI, Bing AI, and Chatsonic AI for Software testing;

• Chrome dev tools and BrowserStack for Web testing;

• TestRail as a Test Management tool;

• NVDA, Voice Over, TalkBack, WAVE, Accessibility Insights for accessibility testing;

• Playwright/JavaScript with the help of ChatGPT for Automation Software Testing;

• Selenium/Java with the help of ChatGPT for Automation Software Testing;

• Android Studio and Xcode for Mobile testing;

• Postman and JMeter for API testing;

• Wireshark for Networking testing;

3. Demonstrating several basic practical functions that testers can use in their work using ChatGPT, Cursor AI, Chrome Dev Tools, BrowserStack, TestRail, Android Studio, Xcode, Postman, JMeter, Wireshark, NVDA, Voice Over, TalkBack, WAVE, Accessibility Insights, GitHub, Visual Studio Code, IntelliJ IDEA, Playwright, Selenium.

4. Demonstrating how the Manual QA Engineer can start the automation journey by creating and running Selenium/Java test scripts for the different website functions, such as Filters, Sorting, Navigation, Minicart, etc., with the help of ChatGPT.
Each lecture for the Automation part is shown on our website, where we created separate components to show everything in practice. For each of our lessons, we created a separate class in the IntelliJ IDEA Integrated Development Environment. So it will be easier for you to find the code you need in the future. The final code will be available in the lecture materials and on our website. We can open our webpage, run it, and check the results using this code.

5. Demonstrating how the Manual QA Engineer can start the automation journey by creating and running JavaScript/Playwright test scripts for the different functions on the website, such as Login, Login Negative Scenarios, My Account, and End-to-End purchase flow with the Help of ChatGPT. Each lecture for the Automation part is shown on our website, where we created separate components to show everything in practice. We created a separate class in Visual Studio Code for each of our lessons. So it will be easier for you to find the code you need in the future. The final code will be available in the lecture materials, on our website, and on GitHub. We can open our webpage, run it, and check the results using this code.

6.  Demonstrating how the Manual QA Engineer can start the automation journey by creating and running JavaScript/Playwright test scripts for the different functions on the website, such as Login, Login Negative Scenario, with the Help of Cursor AI. Each lecture for the Automation part is shown on our website, where we created separate components to show everything in practice. We created a separate class in Cursor for each of our lessons. So it will be easier for you to find the code you need in the future. The final code will be available in the lecture materials on our website. We can open our webpage, run it, and check the results using this code.


We hope you will enjoy the course, and feel free to write reviews and opinions on which tools you would like to review next. We will prioritize and add them to the full version of the course.

Prepare a cup of coffee or another favorite drink and enjoy the course!

Hope to see you in the first lecture!