Role-Based Programme
RB0324

GitHub Copilot for Product & Service Management

Explore AI-Assisted Requirements, Prototyping & Product Delivery

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how GitHub Copilot can support product requirements, backlog preparation, feature exploration, and engineering collaboration.
  • Explore how product context, repositories, Issues, and Pull Requests can improve AI-assisted product understanding.
  • Experience the transition from customer need to structured Issue, acceptance criteria, and agent-assisted implementation.
  • Identify how Copilot can support product validation, change review, and release preparation.
  • Recognise security, product ownership, technical review, and responsible AI requirements before accepting AI-generated software changes.

Tools covered

GitHub CopilotCopilot ChatCopilot SpacesGitHub IssuesCopilot Cloud AgentPull RequestsCopilot Code Review

Who should attend

  • Product Managers
  • Product Owners
  • Digital Product Managers
  • Technical Product Managers
  • AI Product Managers
  • Product Analysts
  • Product Operations Professionals
  • Product Innovation Professionals
  • Service Managers
  • Service Design Professionals
  • Product & Engineering Coordinators
  • Product & Service Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of product or service management
  • Familiarity with customer needs, user stories, requirements, or product features
  • General awareness of software-development workflows is helpful
  • Basic familiarity with GitHub is beneficial but not mandatory
  • No programming expertise required
  • No previous GitHub Copilot experience required

TOC Modules

Concepts
  • Understanding GitHub Copilot across product context, software development, Issues, Pull Requests, and AI-agent workflows
  • Mapping product activities across Discover → Define → Build → Review → Release
  • Understanding the difference between AI assistance and delegated coding-agent execution
  • Differentiating product decisions from AI-generated implementation suggestions
Practical activities
  • Exploring a representative repository, Issue, and Pull Request with Copilot
  • Mapping Product Activity → Copilot Capability → Human Review → Product Outcome

Scenarios

Customer Need to Agent-Assisted Product Feature

Customer Need → Product Requirement → GitHub Issue → Acceptance Criteria → Copilot Cloud Agent → Pull Request → Product Validation → Engineering Review

Participants experience how a customer requirement can move into an agent-assisted implementation workflow while keeping product acceptance, technical quality, and final release under accountable human ownership.

Existing Feature to Controlled Product Improvement

Product Feedback → Repository / Issue Context → Improvement Requirement → Copilot-Assisted Change → Pull Request Review → Acceptance Check → Approved Next Step

Participants use GitHub Copilot to understand and improve an existing product feature while establishing clear checkpoints for product intent, implementation quality, testing, and engineering approval.

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