Course Overview: 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.

Participants will learn how to implement AI-driven testing strategies, leverage Selenium for automation, and integrate Java-based test frameworks into CI/CD workflows. The course includes theoretical lectures, practical exercises, and hands-on labs using tools like Selenium, Testim, and Applitools, all designed to solidify core skills.

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

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