Role-Based Programme
RB0322

GitHub Copilot for Quality Management

AI-Assisted Quality Systems, Testing, CAPA Workflows & Controlled Software Improvement

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

Programme Objectives

  • Develop functional proficiency in using GitHub Copilot to create, enhance, test, and review digital quality-management solutions.
  • Convert inspection, non-conformance, CAPA, audit, defect, and quality-improvement requirements into structured development tasks.
  • Build reusable Product–Quality–Engineering workflows using GitHub Issues, Copilot Cloud Agent, pull requests, automated testing, and Copilot Code Review.
  • Apply repository-specific quality, testing, documentation, and validation standards through persistent Copilot instructions.
  • Maintain evidence traceability, security controls, human quality judgement, engineering review, and formal change approval throughout AI-assisted delivery.

Tools covered

GitHub CopilotGitHub Copilot ChatCopilot SpacesGitHub IssuesGitHub ProjectsCopilot Cloud AgentGitHub Pull RequestsCopilot Code ReviewRepository Custom InstructionsAGENTS.mdMCP ServersGitHub Code Quality

Who should attend

  • Quality Managers
  • Quality Assurance Professionals
  • Quality Engineers
  • Quality Systems Professionals
  • Quality Control Professionals
  • Digital Quality Professionals
  • Quality Analysts
  • Continuous Improvement Professionals
  • Process Excellence Professionals
  • CAPA Coordinators
  • Quality Audit Professionals
  • Technical Professionals Supporting Quality Systems

Prerequisites & Participant Readiness

  • Working understanding of quality-management processes
  • Familiarity with inspections, NCRs, deviations, CAPA, audits, corrective actions, or quality reporting
  • Basic understanding of digital applications and software workflows
  • Familiarity with GitHub Issues, repositories, or pull requests is helpful
  • Basic programming or software-development knowledge is helpful but not mandatory
  • No requirement to complete shorter GitHub Copilot courses
  • Organisational controls should be followed for regulated systems, confidential quality data, source code, and validated applications

TOC Modules

Concepts
  • Understanding GitHub Copilot across requirements, development, review, and repository workflows
  • Mapping Quality Requirement → Issue → Development → Testing → Review → Release
  • Exploring digital use cases across inspections, NCR, CAPA, audit, defect, and quality-reporting systems
  • Distinguishing AI-assisted software activity from accountable quality decisions
Practical activities
  • Exploring a sample quality-system repository with Copilot
  • Asking Copilot to explain major application components
  • Mapping an existing quality process to software functionality
  • Creating a quality-system improvement opportunity list

Scenarios

Non-Conformance to Controlled CAPA System Enhancement

Quality Issue → NCR Requirement → GitHub Issue → Acceptance Criteria → Copilot Cloud Agent → CAPA Workflow Enhancement → Automated Tests → Copilot Code Review → Quality Validation → Human Approval

Participants transform an approved NCR/CAPA requirement into a controlled digital-system enhancement while maintaining requirement traceability, testing evidence, review, and authorised quality decisions.

Audit Finding to Validated Digital Quality Improvement

Audit Finding → Improvement Requirement → Repository Context → GitHub Issue → Agent Implementation → Pull Request → Test Evidence → Copilot Review → Corrective Changes → Quality & Engineering Review → Controlled Release

Participants use GitHub Copilot across the full quality-system change lifecycle while preserving audit evidence, technical validation, security controls, formal review, and human release authority.

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