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Software Testing with Selenium + AI Tools Training is a specialized program that combines traditional Selenium automation with AI-powered testing tools for smarter test creation, execution, visual validation & self-healing. It is important as it equips QA teams to enhance test efficiency, reduce maintenance & adapt to modern AI-driven testing practices. This training is ideal for QA engineers, test automation specialists & SDETs aiming to advance their skills in intelligent automation.
Duration of Training : 32 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Curriculum Designed by Experts
• Introduction to QA & Testing Lifecycle (STLC, SDLC, Agile)
• Types of Testing: Manual vs Automation
• Introduction to AI in Testing – Why AI is reshaping QA
• Case Studies: Selenium vs AI-Driven Testing
Assignment:Â Compare manual vs Selenium automation vs AI-based testing for a simple login app.
• Java Basics for Testers
• OOP Concepts in Testing (Encapsulation,Inheritance, Polymorphism)
• Exception Handling & File Handling
• Working with Collections & Streams
• Java + AI Libraries (intro to NLP/ML basics for testing context)
Assignment:Â Write Java programs to parse test data and generate dynamic test inputs.
• Selenium Architecture & WebDriver Basics
• Locators & XPath Strategies
• Handling Web Elements (buttons, dropdowns, alerts, tables, windows)
• Synchronization in Selenium (Implicit, Explicit Waits)
• Page Object Model (POM) & Data-Driven Frameworks
Project:Â Automate an e-commerce app checkout flow with Selenium.
• Selenium Grid & Parallel Test Execution
• Cross-browser Testing with Selenium
• Headless Browser Testing (Chrome, Firefox)
• Integrating with Maven/Gradle & TestNG/JUnit
• Reporting with Extent Reports / Allure
• CI/CD Integration (Jenkins + Selenium)
Project:Â Build a Selenium CI pipeline that runs tests on Chrome, Firefox, and Edge.
• Limitations of Traditional Selenium
• How AI Improves Test Automation (self-healing, NLP test cases, visual testing)
• AI Testing Frameworks Overview:
o Testim.io
o Mabl
o Functionize
o Applitools Eyes
o TestRigor
o Virtuoso
Assignment:Â Map Selenium features vs AI-powered testing features.
• Writing tests in Natural Language → AI Test Cases
• TestRigor / Virtuoso Hands-On: Generating tests from plain English
• Integrating AI-generated tests with Selenium framework
• AI Bots for Exploratory Testing
Project:Â Generate 20 AI-based test cases for a sample banking app and execute them with Selenium.
• Why test scripts break (UI locator changes, dynamic elements)
• Self-healing locators with AI (Testim, Mabl, Functionize)
• Integrating AI-healing with Selenium WebDriver tests
Assignment:Â Create a Selenium test suite and enable AI auto-healing to fix broken locators.
• Visual Regression Testing basics
• Applitools Eyes → AI-based image comparison
• Integrating Selenium with Applitools SDK
• Cross-device & cross-browser visual validation
Project:Â Use Applitools + Selenium to validate a responsive web application.
• Smart Test Execution (AI-based test prioritization)
• Launchable & Sealights for risk-based testing
• Reducing execution time with AI-driven test selection
• Defect Prediction Models (ML in testing)
Assignment:Â Run Selenium regression suite with and without AI prioritization; compare execution time.
• Hybrid Framework (Selenium + AI)
• Data-driven + AI-enhanced test cases
• CI/CD with AI-powered reporting dashboards
• Future of Testing: ChatGPT/Copilot for Test Script Generation
• Build an end-to-end test automation framework using Selenium + AI tools
(Applitools, Testim, TestRigor).
• Automate login, product search, checkout, and payment workflow.
• Enable self-healing, visual validation, and AI-based test prioritization.
• 40+ Assignments
• 3 Mini Projects
• 1 Capstone Project (Hybrid AI + Selenium Framework)
• Hands-on with at least 3 AI Testing Tools
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