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Keep shoppingGenAI for QA - Masterclass in Testing & Automation [2025]
1,921 students
GenAI for QA - Masterclass in Testing & Automation [2025]
Master GenAI for Software Testing: Manual, Automation, Selenium WebDriver, API Testing, AI Pair Programming, AI Tools
Created byLets Kode It
Last updated 6/2025
English
What you'll learn
- Understand the fundamentals of Generative AI and why it’s becoming essential for modern QA professionals
- Master prompt engineering techniques to craft effective and context-aware instructions for AI tools
- Generate comprehensive test plans, functional test cases (Web, API, Mobile), and synthetic test data using AI
- Build Selenium WebDriver test frameworks and utilities with AI-assisted design, including retry logic and reporting
- Automate REST API testing using Rest Assured with AI-powered framework generation, logging, and debugging
- Boost your coding productivity with pair programming using tools like GitHub Copilot
- Explore offline AI assistants and learn how to run private LLMs for confidential enterprise environments
- Learn and implement AI-first automation using TestRigor for codeless, resilient, and scalable testing
- Gain hands-on experience building frameworks, test suites, and debugging workflows with AI at every step
- Discover how AI tools are revolutionizing QA and how to stay ahead with evolving AI capabilities
Explore related topics
Course content
10 sections • 38 lectures • 4h 29m total length
Requirements
- No prior experience with AI or machine learning required
- Internet connection to access AI tools and platforms
- A curious mindset and eagerness to explore AI will help you gain the most from this course
- Basic Understanding of Software Testing concepts will help you follow along more effectively
- Some Test Automation Experience (Optional): Basic familiarity with programming concepts can help you progress effectively
- Don’t hesitate to ask in the Q&A if you need help or clarification—guidance is always here.
Description
Why Generative AI in Testing and Automation?
Generative AI is reshaping how software testing is planned, written, and executed. With tools like ChatGPT, Claude, Bard, and GitHub Copilot, testers can accelerate automation, enhance coverage, and reduce repetitive manual effort. These tools enable:
Instant generation of test plans and test cases
Fast creation of test data and utilities
AI-assisted debugging, documentation, and reporting
Smarter and scalable automation across platforms
AI is not just an assistant—it’s becoming a co-pilot for QA teams across functional, UI, API, and mobile testing domains.
Why Selenium, Rest Assured, TestRigor, and AI Tools?
Selenium WebDriver and Rest Assured are widely adopted for browser and API automation. Combined with AI, they can be extended faster and maintained with less effort. On the other end, tools like TestRigor enable AI-first, codeless automation that's powerful for teams seeking scale with minimal code.
This course brings together traditional frameworks and modern AI-powered solutions by using:
Selenium WebDriver for web UI automation
Rest Assured for API testing
TestNG for structure, execution, and configuration
TestRigor for AI-first, low-maintenance test creation
GitHub Copilot & AI Assistants to write utilities, parameterize tests, and convert manual steps into code
Offline LLMs for secure, customizable AI-driven testing
Together, these tools empower testers to automate faster, collaborate better, and scale efficiently.
Why This Course?
This is a hands-on, project-based masterclass tailored for manual testers, automation engineers, and QA leads who want to integrate AI into their testing stack. It balances foundational concepts with real-world implementation using a wide variety of tools and techniques.
You’ll learn how to generate test cases, build frameworks, debug issues, and even create AI-powered test data—all with minimal manual effort.
You don’t need prior AI knowledge—just a willingness to explore and apply modern testing strategies.
This course includes:
AI-Generated Framework Artifacts: Page classes, data providers, retry logic, listeners, utility methods
Real-Time Pair Programming: Copilot-assisted automation and debugging
Offline AI Setup: Configure and run LLMs locally for private test generation
Codeless Testing with TestRigor: Perform UI and API testing with English instructions
Code Snapshots: Before-and-after examples for easy comparison and clarity
Best Practices: On reporting, data security, and integrating AI into existing frameworks
Ready to future-proof your QA career?
By the end of this course, you’ll be equipped to:
Use GenAI tools to create test plans, test cases, data, and utilities
Automate web and API tests with AI-powered frameworks
Adopt codeless and AI-first testing approaches like TestRigor
Run your own offline AI assistant for secure, customized test generation
Collaborate more efficiently with AI tools in your daily testing workflow
Let’s transform your test automation skills with the power of Generative AI!
Who this course is for:
- QA Engineers looking to generate test cases, plans or aiming to build or enhance automation frameworks
- SDETs interested in leveraging Copilot and AI for faster test automation and debugging
- Test Leads and QA Managers exploring AI-first tools like TestRigor to boost team efficiency and reduce maintenance
- Beginners in Automation who want guided, AI-supported learning for Selenium and API automation frameworks
- Productivity Seekers and Tech Enthusiasts aiming to write, refactor, and document test code faster with AI pair programming
- Anyone in Software Testing curious about how GenAI is transforming modern QA practices and tools