Automation Web Application Testing using AI with Java and Selenium

*THIS IS A PRIVATE ONLY COURSE - CONTACT US FOR PRICING* This intensive 4-Part course focuses on using Java and Selenium with AI-powered testing tools to automate web application testing. With the growing complexity of web applications, traditional testing approaches often become resource-intensive and limited in scope. This course combines Java and Selenium fundamentals with AI-enhanced techniques to provide an efficient, scalable, and comprehensive approach to web application testing.

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Course Days: 4


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Learning Objectives: By the end of the course, participants will be able to: 

  1. Understand the fundamentals of web application testing, Java, and Selenium. 
  1. Apply AI-based methods to improve traditional test automation. 
  1. Set up and configure Selenium and AI-enhanced testing tools with Java. 
  1. Design, implement, and execute automated tests for web applications using Java, Selenium, and AI techniques. 
  1. Integrate AI-based testing with Java in continuous integration and deployment (CI/CD) pipelines. 
  1. Diagnose and troubleshoot Selenium-based test cases using AI-driven insights. 

Part 1: Introduction to Java, Selenium, and AI in Testing 

Topics: 

  • Module 1: Introduction to Web Application Testing 
  • Overview of web application testing concepts (functional, performance, and regression testing) 
  • Benefits and limitations of traditional web application testing 
  • Introduction to test automation for web applications 
  • Module 2: Overview of Selenium and Java Basics 
  • Basics of Java for automation 
  • Introduction to Selenium WebDriver and its architecture 
  • Setting up Selenium with Java (Maven, TestNG/JUnit, and IDE setup) 
  • Module 3: Getting Started with AI in Testing 
  • Overview of AI in test automation 
  • Introduction to AI-powered testing tools and frameworks compatible with Selenium (Testim, Applitools, etc.) 
  • AI features that enhance Selenium testing (self-healing tests, visual testing, dynamic locators) 

Hands-On Labs: 

  • Lab setup: Configuring Java, Selenium WebDriver, Maven, and TestNG 
  • Exercise: Write and execute a simple automated test case using Java and Selenium 

 

Part 2: Designing and Implementing Automated Tests with Java, Selenium, and AI 

Topics: 

  • Module 4: Selenium WebDriver for Test Automation 
  • Using Selenium WebDriver to automate browser actions and validate UI elements 
  • Locating elements with Selenium (ID, CSS, XPath) 
  • Writing reusable and modular test scripts with Java and Selenium 
  • Module 5: AI-Driven Test Case Design with Selenium 
  • Creating robust test cases with AI tools to enhance Selenium-based automation 
  • Implementing visual testing and regression testing with Applitools and Testim 
  • Dynamic locators, self-healing elements, and AI-based error handling 
  • Module 6: Executing and Debugging Tests 
  • Running Selenium tests and integrating them with AI tools 
  • Debugging test cases using Java and Selenium best practices 
  • Analyzing results from AI-driven tests and identifying improvements 

Hands-On Labs: 

  • Practical lab: Develop and execute AI-enhanced Selenium tests with Java 
  • Exercise: Design a test suite using Selenium and add self-healing locators with Testim or Applitools 

 

Part 3: Advanced Selenium and AI Testing Techniques with CI/CD Integration 

Topics: 

  • Module 7: Advanced Testing with Java and Selenium 
  • Data-driven testing with Java and Selenium 
  • Parameterizing test cases and managing test data 
  • Implementing visual validation and pixel-perfect UI testing with Applitools 
  • Module 8: Integrating AI-Enhanced Selenium Tests in CI/CD 
  • Setting up Jenkins or GitHub Actions to run Selenium tests automatically 
  • Configuring CI/CD pipelines to include AI-powered Selenium tests 
  • Generating and analyzing reports using Java-based reporting libraries (e.g., Allure, Extent Reports) 
  • Module 9: Self-Healing Tests and AI Maintenance 
  • Introduction to self-healing mechanisms with AI and Selenium 
  • Implementing AI-powered maintenance for dynamic locators in Selenium 
  • Managing Selenium test suites in continuously evolving applications 

Hands-On Labs: 

  • Lab: Integrate Selenium with CI/CD for automated builds and AI-enhanced testing 
  • Exercise: Implement a self-healing Selenium test case and set up reporting with Allure or Extent Reports 

 

Part 4: Final Project, Best Practices, and Future Trends 

Topics: 

  • Module 10: Hands-On Project: AI-Driven Automation Framework with Java and Selenium 
  • Build a modular, scalable automation framework using Java and Selenium 
  • Integrate AI-powered test features with Selenium (self-healing, visual validation, dynamic locators) 
  • Apply best practices for reusable and maintainable test code 
  • Module 11: Best Practices in Selenium Automation and AI-Driven Testing 
  • Effective strategies for implementing Selenium automation with AI 
  • Managing test data, handling synchronization issues, and minimizing flaky tests 
  • Privacy considerations and ethical AI testing practices 
  • Module 12: Future of AI in Selenium Web Application Testing 
  • Trends in autonomous testing and predictive analytics with Selenium 
  • Emerging AI tools and frameworks compatible with Java and Selenium 
  • Continuous learning: Resources for staying updated in AI and automation testing 

 

 



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