Job-Ready Skills for the Real World
Master Selenium WebDriver Automation Testing with Java, TestNG — Build AI-Powered, GPT-Driven Selenium Test Automation
Length: 73.0 total hours
4.36/5 rating
80,667 students
November 2025 update
Add-On Information:
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Course Overview
- This comprehensive 2026 Edition course transcends traditional automation by integrating cutting-edge Artificial Intelligence capabilities directly into your Selenium testing workflows. Designed for aspiring and seasoned QA professionals alike, it offers a deep dive into building next-generation, self-healing, and intelligent test automation frameworks using Java. You will move beyond basic script creation to architect robust, maintainable, and highly efficient solutions that leverage the power of GPT and other AI models. The curriculum is meticulously crafted to equip you with a future-proof skill set, enabling you to build automation systems that not only find bugs but also intelligently adapt, evolve, and provide insightful analytics, positioning you at the forefront of the evolving software testing landscape. It’s an intensive journey covering 73 hours of expert-led content, reflecting the latest industry advancements and best practices in AI-driven quality assurance.
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Requirements / Prerequisites
- Foundational Java Knowledge: A basic understanding of Java syntax, object-oriented programming (OOP) concepts (classes, objects, inheritance, polymorphism), and fundamental data structures is essential to grasp the course material effectively.
- Basic Software Testing Concepts: Familiarity with general software testing principles, types of testing (functional, regression), and the software development lifecycle (SDLC) will be beneficial.
- Development Environment: Access to a computer with a stable internet connection, sufficient processing power, and memory to run an Integrated Development Environment (IDE) like IntelliJ IDEA or Eclipse.
- Enthusiasm for Learning: An eagerness to explore new technologies, particularly in the realm of AI and automation, and a willingness to engage in hands-on coding exercises.
- No Prior Selenium Experience Required: While advantageous, prior experience with Selenium WebDriver is not mandatory, as the course covers it comprehensively from the ground up.
- No Prior AI/GPT Experience Needed: This course introduces and guides you through the integration of AI tools, so no previous expertise in AI/ML is necessary.
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Skills Covered / Tools Used
- Advanced Test Architecture Design: Master the principles of designing scalable and maintainable automation frameworks, extending beyond basic patterns to incorporate AI components seamlessly.
- Intelligent Test Data Management: Strategies for dynamic and AI-assisted generation or validation of test data to enhance test coverage and realism.
- Proactive Defect Prediction & Prevention: Understanding how AI insights can be used to anticipate potential issues before they manifest in production.
- Sophisticated Debugging & Troubleshooting: Develop advanced techniques for diagnosing and resolving complex issues in automated tests, including those introduced by AI integration.
- Collaborative Automation with Version Control: Best practices for using Git and GitHub for team-based automation projects, including branching strategies and pull requests.
- End-to-End CI/CD Pipeline Orchestration: Gain expertise in configuring and managing robust continuous integration and continuous deployment pipelines for automated testing.
- Containerization for Consistent Environments: Leverage Docker to create isolated and reproducible test environments, minimizing “it works on my machine” issues.
- Customizable Reporting & Analytics: Beyond standard reports, learn to tailor and interpret AI-generated insights for actionable feedback to development teams.
- Cross-Browser & Device Compatibility Strategies: Develop robust testing approaches to ensure application functionality across various browsers and device types using Selenium Grid concepts.
- API Integration for External Services: Understand how to programmatically interact with third-party APIs (like OpenAI’s GPT) within your automation framework.
- Resilient Locator Strategy with AI: Develop robust element location strategies, complemented by AI-driven healing mechanisms that adapt to UI changes.
- Performance Monitoring Integration: Concepts for integrating basic performance checks within your automation suite to catch regressions early.
- Object-Oriented Design for Test Automation: Apply advanced OOP principles to create highly modular, reusable, and efficient test automation code.
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Benefits / Outcomes
- Become an AI-Driven QA Leader: You will be equipped to spearhead the adoption of intelligent automation within your organization, becoming a sought-after expert in a rapidly evolving field.
- Build Self-Sustaining Automation: Gain the ability to construct automation frameworks that intelligently adapt to UI changes, reducing maintenance efforts and increasing test reliability.
- Accelerate Software Delivery Cycles: Contribute significantly to faster release cycles by implementing efficient, intelligent, and highly effective automated testing processes.
- Enhanced Career Opportunities: Unlock advanced roles in Quality Assurance, Test Automation Engineering, and AI-driven Testing, making you highly competitive in the job market.
- Develop Future-Proof Skills: Acquire a skill set that anticipates future trends in software testing, ensuring your expertise remains relevant and valuable for years to come.
- Improve Defect Detection Accuracy: Leverage AI to identify subtle defects and potential issues that traditional automation might miss, leading to higher quality software.
- Drive Innovation in Testing: You will be capable of not just executing tests, but also innovating new ways to test, predict failures, and generate insights using AI.
- Create Actionable Test Insights: Transform raw test results into intelligent, AI-summarized reports that provide clear, concise, and actionable feedback for all stakeholders.
- Boost Team Productivity: Implement automation solutions that streamline testing processes, freeing up valuable human resources for more complex exploratory testing and strategic initiatives.
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PROS
- Cutting-Edge Curriculum: Integrates advanced AI concepts (GPT, Visual AI) directly into practical Selenium automation, offering a highly relevant and future-oriented skill set.
- Comprehensive & In-Depth: At 73 hours, it covers foundational to advanced topics thoroughly, suitable for various skill levels aiming for mastery.
- High Industry Relevance: Focuses on building intelligent, self-healing frameworks, which directly addresses modern software development challenges of scalability and maintenance.
- Strong Practical Application: Emphasizes hands-on project work, allowing students to immediately apply learned concepts in real-world scenarios.
- Expert-Led & Up-to-Date: Reflects the “2026 Edition” with a “November 2025 update,” ensuring the content is current with the latest tools and methodologies.
- Proven Track Record: With a high rating and over 80,000 students, it indicates a well-received and effective learning experience.
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CONS
- The extensive scope and integration of advanced technologies may present a steep learning curve for individuals completely new to programming or automation concepts.
Learning Tracks: English,IT & Software,Other IT & Software
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