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Quality has been a thorny issue for the software development industry. From early programs to modern applications, software has always been prone to bugs- defects that shouldn鈥檛 be there yet often make their way into production, diminishing user experience and frustrating developers. Ensuring that the final product works as expected is the core responsibility of QA practices and processes. However, this is easier said than done. The QA function is often misunderstood and forgotten, especially in agile environment where principles like 鈥減rogress over perfection鈥� and 鈥渇ail fast to learn fast鈥� made practitioners shift their focus away from thoughtful quality management.

Managing quality is not about eliminating every bug and issue. It may not even be possible. Instead, it鈥檚 about building software development processes that are able to deliver the expected results which the team commits to. Predictability, as a key measure of quality, allows teams to adjust their throughput by consciously deciding on the acceptable quality levels for their final products. In this course, we will explore how to design and structure an effective quality process in the modern agile team through collaboration and automation. We will look at tools and techniques that work; and combine them with meaningful measures, which will allow us not only position QA function appropriately within the agile delivery process but also improve and fine-tune it over time This course is designed for professionals involved in ensuring software quality within agile environments. It is ideal for software testers, quality engineers, developers, scrum masters, agile coaches, and team managers who are engaged in or responsible for agile development processes. Whether you鈥檙e directly testing code or guiding agile delivery practices, this course equips you with the tools and strategies to elevate quality assurance in your team. To fully benefit from this course, learners should have a foundational understanding of the software development lifecycle, software testing principles, and agile methodologies. Prior exposure to agile project environments will help contextualize the QA concepts presented and allow for easier application of best practices in real-world scenarios. By the end of the course, learners will be able to clearly define the role of QA in agile development and integrate quality practices from the earliest stages of the software lifecycle. They鈥檒l learn to scope effective automation strategies and use data insights to continuously refine the QA process. These skills will help teams deliver higher-quality software with greater predictability and alignment to user expectations.