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Master Generative AI for Software Testing: Manual to Auto (Udemy.com)

Master Generative AI for Testing: Python, Playwright, and Behave BDD Frameworks for Manual and Automation Testers

Created by: Gianni Bruno

Last updated March 2026

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What you will learn

  • Use Generative AI tools like ChatGPT and OpenAI API to create, analyze, and refine test plans, cases, and BDD scenarios dynamically.
  • Master Python essentials: variables, functions, file handling, and libraries like Requests for effective automation testing.
  • Build AI-enhanced frameworks using Behave BDD for API and Playwright for UI testing, focusing on dynamic and efficient test creation.
  • Optimize automation tests with AI: refine BDD steps, generate test reports, automate cleanup, and integrate advanced features.
  • Configure Jenkins CI pipelines to execute automated UI and API tests, generate reports, and streamline test workflows seamlessly.
  • Ensure test data privacy: anonymize sensitive data, use environment variables, and follow ethical AI best practices with ChatGPT.
  • Gain hands-on experience with real-world projects: automate Contact Us, Login APIs, and Goal Tracker API using practical exercises.

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Quality Score

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Overall Score : 90 / 100

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Course Description

Why Generative AI in Software Testing?

Generative AI is transforming the software testing landscape by enabling dynamic test case generation, optimizing test execution, and improving coverage. Tools like OpenAI’s API and GPT4All empower testers to:

  • Reduce manual effort.

  • Uncover edge cases faster.

  • Enhance both manual and automated testing workflows.


Why Python, Behave BDD, and AI-Driven Tools?

Python: A versatile, beginner-friendly programming language widely used for automation.

Behave BDD: A Python-based Behavior-Driven Development tool that uses the same Gherkin syntax as Cucumber BDD, simplifying test case creation and ensuring scenarios are clear for all stakeholders.

AI Tools: Leverage OpenAI’s API (ChatGPT) and offline tools like GPT4All to dynamically create, optimize, and refine test scenarios, reducing manual effort and improving test coverage.

Together, these tools allow testers to:

  • Automate UI and API tests with AI, Python, Behave BDD, and Playwright.

  • Dynamically generate and refine test cases using AI tools like ChatGPT and OpenAI APIs.

  • Integrate into Jenkins CI pipelines for scalability and continuous test execution.


Why This Course?

This course is practical, easy-to-follow, and designed for manual testers and automation testers looking to upgrade their skills. Whether you’re new to automation or experienced in testing, you’ll gain hands-on experience with AI-powered testing.

(Note: To fully implement AI features programmatically, an OpenAI API key is recommended. OpenAI provides free credits for new accounts, but existing users may need to add minimal funds (~$5). Watching specific lectures without practical implementation is also an option.)

The course includes Before and After code examples, attached to the relevant lecture resources, to help you understand concepts step-by-step and implement them seamlessly.


What Will You Learn?

Generative AI for Test Case Creation

  • Use ChatGPT (free or paid version) to generate test plans and test cases outside of code.

  • Use OpenAI APIs to dynamically generate test cases and suggest step definition code within the framework (API key and minimal credits required for hands-on implementation).

  • Explore tools like GPT4All for offline AI-powered testing.

  • Quickly create optimized, AI-powered test scenarios.

Mastering Python Fundamentals for Testing

  • Python basics: Variables, data structures, functions, and file handling.

  • Work with JSON data and external libraries like Requests for API testing.

Building AI-Enhanced Automation Frameworks

  • Behavior-Driven Development (BDD): Simplify test requirements using Gherkin and Behave.

  • Automate UI Testing with Playwright and Behave (BDD).

  • Automate API Testing using Python and Behave (BDD).

Advanced Features for Automation

  • Use Generative AI to refine BDD scenarios and step definitions.

  • Leverage OpenAI API to analyze step definition files and recommend optimized code solutions.

  • Implement tags, custom runners, and generate detailed test reports with Allure.

  • CI/CD Integration: Learn how to run tests continuously using Jenkins CI pipelines.

Data Privacy and Security in AI Testing

  • Protect sensitive data when using AI tools like OpenAI APIs.

  • Follow best practices for anonymizing data and managing credentials securely.

Additional Features

  • Real-World Projects: Automate tests for a Contact Us Page, Login Page, and a Goal Tracker API.

  • Practical Exercises: Step-by-step recordings with before-and-after downloadable code examples.

  • AI-Powered Optimizations: Generate, analyze, and refine test scripts dynamically.

  • Reporting: Generate detailed reports and attach screenshots for better test visibility.


Ready to Master AI-Driven Software Testing?

By the end of this course, you’ll have the skills to:

  • Integrate Generative AI into manual and automated testing workflows.

  • Build scalable and dynamic automation frameworks using Python, Behave BDD, Playwright, and Jenkins CI.

  • Leverage AI tools to optimize and streamline testing processes effectively.


Let’s revolutionize software testing with Generative AI together!

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Instructor Details

Gianni Bruno

I'm a Senior SDET with 10+ years of hands-on experience building test automation frameworks across real-world teams, products and projects. I've also helped over 100,000 students, with 12,500+ reviews, learn test automation through practical Udemy courses built around real tools, real projects and job-ready skills.

I've worked across digital asset custody, blockchain-related systems, fintech, edtech, online booking, e-commerce and hospitality/POS systems. That includes testing web applications, APIs, financial workflows, backend services, reporting systems and business-critical end-to-end journeys where accuracy, reliability and data integrity matter.

My courses cover:

- Playwright, TypeScript and AI-assisted testing

- Claude, OpenAI and modern QA workflows

- API testing with Postman and REST

- Selenium WebDriver, Java and Cypress

- WebDriverIO, JavaScript and Python

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Reviews

4.5

1,162 ratings on Udemy

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By Yogesh Golande on 6/5/2026

Very good course. Amazing Learning Experience for me. Thank you!

By Swaraj Sourav on 6/1/2026

Very insightful and good topics covered to leverage AI in automation testing

By Himanshu Tewari on 3/14/2026

It was a pretty good course to begin with usage of GenAI for Automation Testing.

By Wayne Roseberry on 2/17/2026

statements like "more accurate" are poorly applied to AI. Gen AI is chronically inaccurate. It hallucinates frequently. To portray it as the more accurate way of generative test data, cases, or anything else is grotesquely misleading.

By Christian Maldonado on 1/21/2026

I have several of of his courses and they are all well structured, easy to follow and packed with useful information.

By Satyendra Kumar Sharma on 12/23/2025

A Perfect Course with clear and concepts and Great coverage..(y)

By Mpho Bereng on 12/20/2025

very new in coding learning as a manual tester im slowly learning and hoping if i have to write this i can use AI to write but at least would be having a certain level of understanding.i was very lost but im trusting the process i got to grasp the logic behind the girkin method

By Shivani singh on 11/4/2025

Its the best course for learning python and AI

By Antonio Tsvihun on 10/16/2025

Half of the course is useless for me personally, and the other half is useful.

By Doushian Gopee on 9/27/2025

The course was clear and well-structured, providing valuable insights into the application of generative AI in automation testing. I would highly recommend it to others. Truly outstanding!

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