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Quality Assurance and Post-Launch Management · LearnSpace
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courseraIT и технологии

Quality Assurance and Post-Launch Management

Курс от Coursera
Уровень не указан≈ 15 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Quality 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.

Навыки, которые вы освоите

DebuggingMicrosoft Power PlatformProduct ImprovementApplication Lifecycle ManagementData-Driven Decision-MakingQuality AssuranceSoftware Quality (SQA/SQC)Microsoft Development ToolsKey Performance Indicators (KPIs)Azure DevOpsIntegrated Development EnvironmentsGenerative AIContinuous Improvement ProcessSoftware Quality AssuranceUser Feedback

Программа курса

6 модулей · 92 учебных материалов

01Start Here: Get Oriented and Check Your Skills2 материалов
Start Here: How This Skill-Based Course WorksЧтениеSkill Diagnostic: Find Your Recommended Starting PointЗадание
02 Debugging and Problem Solving with AI20 материалов

Fundamentals of AI-Assisted Debugging and Problem-Solving

Introduction to Using AI to Assist with Debugging and Problem SolvingВидео

Учитесь у экспертов

Professionals from the Industry

Преподаватель курса

Quality Assurance and Post-Launch Management
В каталоге вашей программы

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 15 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
How AI Tools Detect and Address Bugs Видео
Reading: AI-Driven Strategies for Improving Code EfficiencyPLUGIN
Practice Quiz: Fundamentals of AI-Assisted Debugging and Problem-SolvingЗадание

Root Cause Analysis with AI Tools

AI Techniques for Root Cause AnalysisВидеоReading: Common Root Cause Issues in Software DevelopmentPLUGINStrategies for Using Generative AI to Enable Effective Root Cause Analysis ВидеоLab: Use Generative AI to Analyze the Root Cause of a Software Issue PLUGINPractice Quiz: Root Cause Analysis with AI ToolsЗадание

AI for Complex Problem-Solving in Development

Reading: Using Generative AI to help Solve Complex Development ChallengesPLUGINTechniques for Using Generative AI to Solve Complex Development IssuesВидеоReading: Case Study with Examples for Debugging Performance, Scalability, and Architectural Issues PLUGINLab: Using AI to Propose Solutions for a Complex Development Issue PLUGINPractice Quiz: AI for Complex Problem-Solving in DevelopmentЗадание

AI for Code Maintainability

What Is Code Maintainability?ВидеоHow to Use Generative AI to Reduce Technical Debt and Enhance Code StructureВидеоReading: Using AI to Refactor Legacy CodebasesPLUGINLab: Using Generative AI to Enhance the Structure of a Python File PLUGINPractice Quiz: AI for Code MaintainabilityЗадание

Summary and Assessment

Module Summary: Debugging and Problem-Solving with AIЧтение
03Quality assurance and control22 материалов

Testing, testing

Putting your product to the testВидеоTypes of testingЧтениеUser acceptance testingВидеоCrafting crystal-clear user acceptance criteria with Azure DevOpsЧтениеNavigating test results in Microsoft ExcelВидеоBug huntingЧтениеSecurity testing requirementsЧтениеTesting and evaluation techniquesЗадание

Proactive risk mitigation

Controlling qualityВидеоRisk Management in product developmentВидеоIdentifying and categorizing risksЧтениеUsing a risk register to prioritize risksВидеоDeveloping mitigation strategiesЧтениеEmpowering through quality controlВидео

The feedback loop

Beyond the launchВидеоGathering feedbackЧтениеAnalyzing and prioritizing feedbackЧтениеManaging customer feedback with ProductboardВидеоAnalyzing and managing customer feedbackЗаданиеActivity: Quality assurance for enterprise softwareЗадание
04Post-launch management21 материалов

The metrics that matter

The ongoing journey of product successВидеоMeasuring what mattersЧтениеTracking KPIs with PowerBIВидеоCan you tell a story with data?ЗаданиеNavigating the post-launch landscapeВидеоCloud service analyticsЧтениеKey performance indicators (KPIs) for measuring successЗадание

The voice of the customer

Listen and learnВидеоFeedback channelsЧтениеThe art of active listeningЧтениеVoice of the customerЗаданиеPrioritizing and addressing customer needsВидеоFeedback as fuelВидеоStrategies for gathering and analyzing customer feedback

The product evolution

The never-ending journeyВидеоCharting your product's futureВидеоEmbracing flexibility and iterationЧтениеManaging product updates with AsanaВидеоStrategic vision and iterationЗаданиеDefining "done"ЧтениеActivity: Post-launch management for enterprise software
05Performance evaluation and process improvement25 материалов

The post-launch pulse check

Beyond the fireworksВидеоThe post-launch reality checkВидеоPost-launch analyticsЧтениеPost launchЗаданиеDeep dive into user behaviorВидеоCustomer feedback in the post-launch phaseЧтениеThe post-launch report cardВидеоEnterprise analytics best practicesЧтениеProcess improvement methodologies for enterprise softwareЧтениеEvaluating product performance using key metricsЗадание

Uncovering opportunities for growth

Data as your guideВидеоAdvanced analytics techniquesЧтениеData visualization for product managersЧтениеPredictive analytics in actionВидеоTurning insights into actionВидеоUsing Power BI for advanced analyticsВидео

The iteration cycle

The evolution of excellenceВидеоEmbracing flexibility and responsivenessВидеоThe product feedback loop post launchЧтениеManaging enterprise software updatesЧтениеProduct feedback loopЗаданиеBalancing user needs and business goalsЧтение
06Skill Assessment2 материалов

Lesson

Learner Expectations for Skill AssessmentЧтениеQuality Assurance and Post-Launch Management - AssessmentЗадание
Security risk managementЧтение
Risk mitigation techniquesЗадание
Задание
Задание
Process optimization techniquesВидео
Applying data analysis techniques to gain insightsЗадание
Activity: Evaluating and enhancing enterprise software solutionsЗадание