
Software Quality Assurance Course
Master every stage of software quality assurance, from requirements validation and test design to automation and process improvement. This course gives you the practical skills to prevent defects, manage test cycles, and deliver software that meets real quality standards. Whether you're starting in QA or leveling up your career, you'll finish ready to contribute on day one.
What you will learn:
You'll learn how to define quality requirements, build traceable test cases, and execute structured test cycles that produce reliable results. The course covers black-box and white-box design techniques, defect reporting, and risk-based planning so you can prioritize testing where it matters most. You'll also gain hands-on knowledge of test automation frameworks, CI pipeline integration, and performance testing fundamentals. Advanced topics include Agile and DevOps QA practices, API testing, and AI-assisted test generation. By the end, you'll know how to measure QA effectiveness and present data-driven quality reports to leadership.
How you study in practice Software Quality Assurance Course
How you practice Software Quality Assurance Course
For companies that want to train their team
With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 37 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Software Quality Assurance
Foundations of Software Quality Assurance
Lesson 1 • QA vs. QC vs. Testing
Distinguishes quality assurance, quality control, and testing as distinct disciplines. Clarifies responsibilities so students apply the right approach in each context.
Lesson 2 • Defect Fundamentals
Introduces defect taxonomy, root causes, and the cost of late detection. Motivates early defect prevention strategies covered in later chapters.
Lesson 3 • Defining Software Quality
Covers quality dimensions, product vs. process quality, and industry quality models. Anchors all subsequent QA activities to measurable quality attributes.
Lesson 4 • Software Development Lifecycle Overview
Surveys SDLC phases and how QA integrates at each stage. Provides the structural context needed to plan quality activities throughout a project.
Chapter 2HideHide detailsSee detailsRequirements Quality and Traceability
Requirements Quality and Traceability
Lesson 1 • Requirements Elicitation and Analysis
Covers interviews, workshops, and use-case analysis for gathering requirements. Connects elicitation quality directly to downstream test accuracy.
Lesson 2 • Requirements Traceability Matrix
Explains RTM construction, maintenance, and coverage analysis. Enables students to map every test case to a requirement and identify gaps.
Lesson 3 • Characteristics of Good Requirements
Defines attributes such as completeness, consistency, and testability for requirements. Equips students to evaluate and improve requirement quality before testing begins.
Lesson 4 • Requirements Validation Techniques
Applies formal reviews, prototyping, and model-based validation to confirm requirements. Reduces rework by catching defects before design begins.
Chapter 3HideHide detailsSee detailsTest Planning and Strategy
Test Planning and Strategy
Lesson 1 • Test Strategy vs. Test Plan
Differentiates organizational test strategy from project-level test plans. Establishes the hierarchy students use to structure all planning artifacts.
Lesson 2 • Test Environment and Data Planning
Addresses environment configuration, data requirements, and dependency management. Prevents environment-related test failures that obscure real defects.
Lesson 3 • Entry, Exit, and Suspension Criteria
Defines measurable conditions for starting, pausing, and completing test phases. Gives teams objective gates that prevent premature or prolonged testing.
Lesson 4 • Risk-Based Test Planning
Applies risk identification and prioritization to focus testing effort where it matters most. Directly links business risk to test coverage decisions.
Lesson 5 • Test Estimation Techniques
Covers work breakdown, analogy-based, and metrics-driven estimation for test efforts. Produces realistic schedules that account for defect discovery cycles.
Chapter 4HideHide detailsSee detailsTest Design Techniques
Test Design Techniques
Lesson 1 • Test Coverage Analysis
Measures and reports coverage across requirements, code, and risk dimensions. Guides decisions on when sufficient testing has been achieved.
Lesson 2 • Experience-Based Techniques
Applies exploratory testing, error guessing, and checklist-based testing. Complements formal techniques by leveraging tester intuition and domain knowledge.
Lesson 3 • White-Box Design Techniques
Covers statement, branch, and path coverage criteria using code structure. Connects structural coverage metrics to test completeness assessments.
Lesson 4 • Test Case Design and Documentation
Structures test cases with preconditions, steps, expected results, and traceability. Produces reusable, maintainable test assets aligned with the RTM.
Lesson 5 • Black-Box Design Techniques
Teaches equivalence partitioning, boundary value analysis, and decision tables. Enables systematic test case derivation from specifications without code access.
Chapter 5HideHide detailsSee detailsTest Execution and Defect Management
Test Execution and Defect Management
Lesson 1 • Defect Reporting and Classification
Covers defect report structure, severity and priority classification, and reproduction steps. High-quality defect reports accelerate developer diagnosis and fix cycles.
Lesson 2 • Test Execution Process
Defines test run setup, execution order, and result recording procedures. Ensures consistent, repeatable execution that produces reliable outcome data.
Lesson 3 • Test Metrics and Progress Reporting
Tracks defect density, test pass rate, and burn-down metrics during execution. Provides stakeholders with objective data to support release decisions.
Lesson 4 • Defect Lifecycle Management
Maps defect states from open to closed and defines transition rules. Keeps defects moving efficiently through triage, fix, and verification stages.
Chapter 6HideHide detailsSee detailsFunctional and Non-Functional Testing Types
Functional and Non-Functional Testing Types
Lesson 1 • Regression and Smoke Testing
Defines regression suite management and smoke testing as a build health gate. Prevents previously fixed defects from re-entering production.
Lesson 2 • Security Testing Fundamentals
Covers vulnerability scanning, penetration testing concepts, and input validation testing. Establishes security testing as a mandatory quality dimension.
Lesson 3 • Usability and Accessibility Testing
Applies heuristic evaluation, user testing, and accessibility standards to assess user experience. Ensures software meets diverse user needs and compliance requirements.
Lesson 4 • Functional Testing Levels
Covers unit, integration, system, and acceptance testing with distinct objectives. Clarifies what each level verifies and who is responsible for execution.
Lesson 5 • Performance and Load Testing
Introduces load, stress, endurance, and spike testing to validate system behavior under demand. Connects performance baselines to non-functional requirements.
Chapter 7HideHide detailsSee detailsTest Automation Fundamentals
Test Automation Fundamentals
Lesson 1 • Automation Strategy and ROI
Evaluates automation feasibility, candidate selection, and return on investment. Prevents over-automation by aligning effort with measurable business value.
Lesson 2 • Continuous Integration and Automation
Integrates automated tests into CI pipelines for fast feedback on code changes. Connects automation execution to build and deployment workflows.
Lesson 3 • Automation Maintenance and Governance
Addresses script maintenance, refactoring, and governance to prevent automation decay. Sustains long-term automation value as applications evolve.
Lesson 4 • Scripting and Coding for Testers
Introduces scripting fundamentals, assertions, and test utilities for automation. Builds coding confidence needed to write and debug automated test scripts.
Lesson 5 • Automation Frameworks and Architecture
Covers data-driven, keyword-driven, and hybrid framework patterns. Provides architectural foundations for scalable, maintainable automation codebases.
Chapter 8HideHide detailsSee detailsQA Process Improvement and Metrics
QA Process Improvement and Metrics
Lesson 1 • Process Maturity Models
Introduces capability maturity frameworks and their application to QA process assessment. Provides a roadmap for advancing from ad hoc to optimized quality practices.
Lesson 2 • QA Reporting to Leadership
Translates QA metrics into executive dashboards and release readiness reports. Builds stakeholder confidence through transparent, data-driven quality communication.
Lesson 3 • Root Cause Analysis Techniques
Applies fishbone diagrams, five-whys, and Pareto analysis to systemic defect causes. Shifts QA from reactive defect fixing to proactive process correction.
Lesson 4 • QA Metrics Program Design
Defines goal-question-metric approach to selecting and implementing QA metrics. Ensures metrics drive decisions rather than generate noise.
Lesson 5 • Retrospectives and Continuous Improvement
Facilitates sprint and release retrospectives to surface QA process improvements. Embeds a learning culture that compounds quality gains over time.
Your valid completion certificate
This course is for you:
Junior developer: wants to add formal quality skills to a coding background.
Career changer: moving from customer support into a structured QA role.
Business analyst: needs to validate requirements and understand testability standards.
Manual tester: ready to formalize instincts into repeatable, documented QA processes.
Project coordinator: responsible for release quality but lacking a testing framework.
Computer science student: preparing for a QA-focused first job after graduation.
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