Manual Software Testing with AI-Assisted Workflows

Software testing is evolving, requiring a blend of foundational quality assurance principles and the ability to use modern AI tools to work smarter. This course provides a solid grounding in manual testing while showing you how to integrate generative AI into your daily workflow to increase efficiency and coverage. You will transition from understanding basic quality concepts to executing professional-grade manual tests and utilizing AI assistants to generate complex scenarios and documentation. What you'll learn: - Understand the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) frameworks. - Design comprehensive test cases and scenarios for diverse application types. - Apply generative AI techniques to draft test documentation and identify edge cases efficiently. - Practice identifying, documenting, and tracking bugs using industry-standard reporting formats. - Explore modern quality assurance concepts including exploratory testing and accessibility basics. - Master prompt engineering specifically tailored for generating high-quality testing data and scenarios. The course begins with essential terminology and the philosophy of quality assurance before moving into practical test design and the strategic application of AI tools. You will read through detailed explanations and practice your skills through written exercises designed to simulate real-world testing environments. This course is designed for absolute beginners looking to enter the QA field or current testers wanting to modernize their workflow; no prior technical experience or programming knowledge is required. Start building your career in quality assurance with a modern, AI-enhanced approach today.