Master Generative AI for Software Testing: Manual to Auto

Master Generative AI for Software Testing: Manual to Auto

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

What you'll 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.
• Learn advanced testing techniques like custom test runners, targeted execution with tags, and detailed reporting using Allure.

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.