Role-Based Programme
RB0914

Amazon Q Developer for Quality Management

Strengthen Software Quality, Testing & Release Assurance

IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop functional proficiency in using Amazon Q Developer to support software-quality assurance, testing, defect investigation, and release-readiness activities.
  • Translate quality requirements and acceptance criteria into structured test scenarios and AI-assisted validation workflows.
  • Apply Amazon Q Developer for code review, security analysis, defect investigation, documentation, and quality-risk identification.
  • Use AWS troubleshooting and application-transformation capabilities to support operational quality and modernisation assurance.
  • Build reusable AI-assisted quality workflows covering Requirement → Test → Review → Defect → Remediation → Validation → Release.

Tools covered

Amazon Q DeveloperAutomated Test GenerationCode ReviewSecurity ScanningCodebase AnalysisAWS Management ConsoleTroubleshootingApplication TransformationInfrastructure as Code

Who should attend

  • Quality Managers
  • Software Quality Assurance Professionals
  • QA Engineers
  • Test Engineers
  • Quality Analysts
  • Automation Testing Professionals
  • Application Quality Professionals
  • Quality Engineering Teams
  • DevOps Quality Professionals
  • Release Managers
  • Technical Quality Leads
  • Software Development Leads

Prerequisites & Participant Readiness

  • Basic understanding of software quality and testing processes
  • Familiarity with requirements, defects, test cases, or acceptance criteria
  • Basic understanding of software-development lifecycles
  • Familiarity with source code or development environments is helpful
  • Basic AWS knowledge is beneficial
  • No advanced programming expertise required
  • No previous Amazon Q Developer experience required

TOC Modules

Concepts
  • Understanding Amazon Q Developer across development, testing, review, and AWS operations
  • Understanding the Requirement → Build → Test → Review → Release quality lifecycle
  • Identifying suitable quality-management and QA use cases
  • Understanding AI assistance versus professional quality judgement
Practical activities
  • Exploring Amazon Q Developer through a sample application
  • Asking questions about application behaviour and code structure
  • Mapping quality activities to relevant Amazon Q Developer capabilities

Scenarios

Feature Requirement to Release Quality Assurance

Feature Requirement → Acceptance Criteria → AI-Assisted Tests → Code Review → Security Review → Defect Resolution → Regression Testing → Release Recommendation

Participants use Amazon Q Developer throughout a feature-quality workflow to strengthen test coverage, identify quality and security issues, validate fixes, and prepare a structured release-readiness recommendation.

Production Defect to Quality Improvement

Production Issue → Amazon Q Investigation → Root-Cause Hypothesis → Code / Configuration Review → Remediation → Verification → Regression Tests → Preventive Action

Participants investigate a production-quality issue, analyse possible technical causes, validate remediation, and create additional regression controls to reduce recurrence.

## Current Capability Reference

Amazon Q Developer currently supports automated **unit-test generation, code reviews for quality and security issues, vulnerability detection, AWS error diagnosis, infrastructure guidance, and application transformation**, making these capabilities directly relevant to software-quality and release-assurance workflows.

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