In this module, we will focus on the Selenium automation tool. Selenium is an open-source framework for automating web browsers, widely used for testing web applications across different browsers and platforms. It supports multiple programming languages including Java, Python, C#, JavaScript, and Ruby, making it accessible to diverse development teams. Selenium allows testers to write scripts that simulate user interactions such as clicking buttons, entering text, navigating pages, and validating content, enabling efficient regression testing and continuous integration practices. The framework consists of several components including Selenium WebDriver for direct browser control, Selenium IDE for record-and-playback functionality, and Selenium Grid for parallel test execution across multiple machines and browsers. Its flexibility, extensive community support, cross-browser compatibility, and integration capabilities with testing frameworks like TestNG and JUnit have made Selenium the industry standard for web application test automation.

In this module, students will explore back-end testing and database management systems (DBMS) testing fundamentals. The module covers the distinction between front-end and back-end testing, three-tier architecture, and comprehensive database testing methodologies including structural, functional, and non-functional testing approaches. Students will also develop essential leadership attributes and communication skills necessary for effective software QA professionals, including an understanding of personality types and their application in team environments.

In this module, we will be discussing cloud computing and QA metrics.. Cloud Computing is an important topic about the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the internet ("the cloud") to offer faster innovation, flexible resources, and economies of scale. We will discuss different cloud models and the testing types within different cloud types. Quality Assurance (QA) metrics and Key Performance Indicators (KPIs) are essential for measuring the effectiveness of testing processes and software quality. We will review the definition of different QA Metrics, and their formulas and purposes. No Software QA Testing can be performed without gathering the correct QA Metrics to measure quality and effectiveness of testing.

In this module, we will discuss usability testing and user experience and the testing requirements and the testing techniques. We will discuss how important usability and user experience testing have become in ensuring the users have a great experience visiting web sites. In the second part of this module, we will explore how Artificial Intelligence (AI) and Machine Learning (ML) are transforming software testing practices, examining AI integration into traditional testing methodologies, analyzing real-world applications and implementation challenges, and understanding how machine learning models recognize software behavior patterns to predict potential failures while addressing the broader implications of AI adoption in quality assurance.

In this module, we will review some additional topics related to testing. In the vast field of QA, IoT testing presents a huge challenge both for testing and security. We will look at these topics more, and also talk about a couple of other topics such as the gaming industry and the associated testing, as well as cyclomatic complexity.

In this module, we will discuss various certifications in software QA and testing. In the competitive landscape of software quality assurance, professional certifications serve as tangible evidence of your expertise, commitment to the field, and understanding of industry-standard practices. Whether you're launching your QA career, transitioning from manual to automation testing, or advancing into leadership roles, certifications can significantly enhance your professional profile and open doors to new opportunities.