Role-Based Programme
RB0323

GitHub Copilot for Quality Management

Advanced Quality Engineering, Digital QMS Workflows & AI-Assisted Validation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced expertise in using GitHub Copilot to design, build, enhance, test, and maintain digital applications supporting quality-management processes.
  • Translate quality requirements, SOPs, audit processes, inspections, NCRs, CAPA, complaints, supplier quality, and control requirements into structured software functionality.
  • Apply Copilot across requirements analysis, coding, debugging, testing, code review, documentation, issue management, and controlled application changes.
  • Build traceable quality workflows connecting approved requirements, implementation, validation evidence, corrective actions, dashboards, and technical changes.
  • Apply data integrity, cybersecurity, document control, access control, validation, change governance, auditability, and responsible AI principles.

Tools covered

GitHub CopilotCopilot ChatAgent ModeCoding AgentCode SuggestionsRepository ContextGitHub IssuesPull RequestsCopilot Code ReviewGitHub Actions ConceptsTest GenerationDocumentation SupportAPI Integration ConceptsGitHub Repositories & Quality Application Development Workflows

Who should attend

  • Quality Managers
  • Quality Assurance Managers
  • Quality Control Managers
  • Quality Engineers
  • Quality Systems Professionals
  • Quality Technology Professionals
  • Internal Quality Auditors
  • Supplier Quality Managers
  • Continuous Improvement Leaders
  • Operational Excellence Professionals
  • Quality Application Owners
  • Quality Digital Transformation Professionals
  • Quality Analysts
  • Technical Quality Professionals
  • Quality Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of quality-management systems and processes
  • Experience with NCR, CAPA, audits, inspections, complaints, quality records, or supplier quality
  • Basic understanding of software-development concepts
  • Familiarity with GitHub repositories, issues, pull requests, or version-control concepts is helpful
  • Basic knowledge of APIs, databases, or application workflows is beneficial
  • Ability to define quality requirements and acceptance criteria
  • No previous GitHub Copilot course required

TOC Modules

Concepts
  • Understanding GitHub Copilot across coding, repository analysis, agentic development, testing, and code review
  • Mapping Copilot capabilities to digital QMS, CAPA, audit, inspection, complaint, and supplier-quality workflows
  • Understanding repositories, issues, branches, pull requests, and development traceability
  • Differentiating AI-generated implementation from accountable quality and engineering decisions
Practical activities
  • Exploring a sample digital quality application
  • Using Copilot to explain repository structure and existing quality workflows
  • Mapping Quality Requirement → Repository → Copilot → Review → Controlled Outcome

Scenarios

Quality Event to Controlled CAPA & Digital Traceability

Quality Event → GitHub Issue → Digital NCR → Investigation → CAPA → Copilot-Assisted Development / Enhancement → Test Evidence → Pull Request Review → Quality Approval → Controlled Release

Participants build and improve a traceable quality workflow while ensuring root-cause confirmation, CAPA approval, technical validation, and production release remain under qualified human ownership.

Audit Finding to Validated Quality-System Improvement

Audit Finding → Requirement Change → GitHub Issue → Copilot-Assisted Code Change → Automated & Manual Testing → Pull Request → Quality / Engineering Review → Validation Evidence → Controlled Deployment → Follow-Up

Participants use GitHub Copilot to implement a quality-system improvement in response to an audit finding while preserving formal change control, validation, cybersecurity review, and auditability.

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