Курс от CourseraQuality Assurance and Post-Launch Management provides a complete, end-to-end view of how modern teams ensure software quality before, during, and after release. By the end of this course, you’ll be able to apply AI-driven debugging techniques, conduct structured QA testing, track and interpret product performance through KPIs, and analyze system data and user feedback to guide post-launch improvements. These skills equip you to contribute confidently across the full product lifecycle—from identifying root causes to supporting long-term performance management. What makes this course unique is its multi-author, multi-tool design. You’ll learn from both SkillUp and Microsoft, gaining exposure to diverse workflows, toolsets, and terminology that mirror the realities of real product teams. As you move through debugging, test execution, performance monitoring, and data-driven evaluation, you’ll see how each module connects to form a complete quality strategy. Whether you’re troubleshooting issues in VSCode, managing QA in Azure DevOps, coordinating tasks in Asana, or visualizing insights in Power BI, you’ll develop adaptable, cross-platform skills that reflect how organizations manage software quality at scale.
6 модулей · 92 учебных материалов

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