Role-Based Programme
RB0326

GitHub Copilot for Product & Service Management

AI-Assisted Prototyping, Product Engineering Collaboration & Feature Validation

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

Programme Objectives

  • Develop practical proficiency in using GitHub Copilot to translate product requirements, user stories, and service needs into functional technical outcomes.
  • Use Copilot to understand existing codebases, explore technical feasibility, prototype features, and improve collaboration with engineering teams.
  • Apply AI-assisted workflows across requirements clarification, feature development, testing, issue resolution, pull-request review, and product iteration.
  • Build reusable product-to-engineering workflows connecting customer needs, requirements, implementation, acceptance criteria, and validation.
  • Apply security, intellectual property, customer privacy, technical review, human approval, and responsible AI practices throughout product-development activities.

Tools covered

GitHub CopilotCopilot ChatAgent ModeCoding AgentCode SuggestionsCodebase ContextGitHub IssuesPull RequestsCopilot Code ReviewGitHub RepositoriesGitHub Actions ConceptsTest GenerationDocumentation Support & Product Prototyping Workflows

Who should attend

  • Product Managers
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • AI Product Managers
  • Service Managers
  • Product Operations Professionals
  • Product Analysts
  • Business Analysts
  • Innovation Managers
  • Product Strategy Professionals
  • Customer Experience Professionals
  • Product Engineering Coordinators
  • Product & Service Management Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of product or service-management activities
  • Familiarity with product requirements, user stories, backlogs, prototypes, or feature-development processes
  • Basic understanding of software-development and GitHub concepts is helpful
  • Ability to define product workflows and acceptance criteria clearly
  • Basic familiarity with repositories, issues, or pull requests is beneficial
  • No advanced programming expertise required
  • No previous GitHub Copilot training required

TOC Modules

Concepts
  • Understanding GitHub Copilot as an AI-assisted software-development and collaboration capability
  • Understanding Copilot Chat, code suggestions, agentic development, repositories, and development context
  • Mapping Copilot across product discovery, prototyping, development, testing, and iteration
  • Differentiating AI-assisted implementation from accountable product and engineering decisions
Practical activities
  • Exploring GitHub Copilot using a sample product repository
  • Asking Copilot to explain an unfamiliar feature or component
  • Mapping Product Need → Copilot Capability → Engineering Review → Outcome

Scenarios

Customer Requirement to Validated Product Feature

Customer Feedback → Product Requirement → GitHub Issue → User Story & Acceptance Criteria → Copilot-Assisted Development → Testing → Pull Request → Product & Engineering Review → Approved Feature

Participants transform validated customer requirements into an engineering-ready feature workflow while maintaining human ownership of prioritization, architecture, acceptance, and release decisions.

Product Issue to Controlled Enhancement

User-Reported Issue → Repository & Feature Analysis → Copilot-Assisted Investigation → Proposed Fix → Test Cases → Pull Request Review → Product Acceptance → Controlled Release

Participants use GitHub Copilot to support issue investigation and feature improvement while preserving engineering validation, product governance, and production-release controls.

Related programmes

Continue with programmes from the same capability area.

Take the next step

Ready to make this programme work for your team?

Customise modules, duration and business scenarios for your team.

Instructor-ledVirtualHybrid

Designed around your roles, tools and real workflows.