Role-Based Programme
RB0327

GitHub Copilot for Product & Service Management

Architect AI-Assisted Product Delivery, Engineering Collaboration & Agentic Workflows

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

Programme Objectives

  • Develop advanced expertise in applying GitHub Copilot across product requirements, backlog preparation, engineering collaboration, feature delivery, acceptance, and release workflows.
  • Translate customer and business requirements into structured GitHub Issues, implementation tasks, acceptance criteria, and agent-ready engineering assignments.
  • Use repository, issue, pull-request, documentation, and shared product context to improve product-to-engineering alignment.
  • Orchestrate Copilot Cloud Agent, custom agents, code review, and MCP-enabled workflows while maintaining appropriate human checkpoints.
  • Establish governance for product decisions, generated code, security, quality, intellectual property, customer data, and production releases.

Tools covered

GitHub CopilotCopilot ChatCopilot Cloud AgentGitHub Copilot SpacesGitHub Issues & Sub-IssuesPull RequestsCopilot Code ReviewPull Request SummariesCustom InstructionsCustom AgentsAGENTS.mdGitHub MCP Server & Agentic Workflows

Who should attend

  • Senior Product Managers
  • Product Owners
  • Technical Product Managers
  • Digital Product Managers
  • AI Product Managers
  • Platform Product Managers
  • Product Operations Leaders
  • Product Strategy Professionals
  • Product Innovation Professionals
  • Product Analysts
  • Service Managers
  • Engineering-Facing Product Professionals
  • Product & Engineering Program Leads
  • Product & Service Team Leads

Prerequisites & Participant Readiness

  • Strong working understanding of product or service management
  • Familiarity with product discovery, user stories, acceptance criteria, roadmaps, and release processes
  • Basic understanding of software-development lifecycles and application architecture
  • Familiarity with GitHub repositories, Issues, branches, and Pull Requests is recommended
  • Basic ability to read source code or discuss technical implementation is beneficial
  • General understanding of generative AI and prompt design is helpful
  • No previous GitHub Copilot course completion required

TOC Modules

Concepts
  • Understanding GitHub Copilot across product context, software development, issues, pull requests, reviews, and agentic execution
  • Mapping Product Discovery → Requirement → Issue → Development → Review → Release → Improvement
  • Understanding interactive Copilot assistance versus delegated Cloud Agent execution
  • Defining product, engineering, quality, security, and release ownership boundaries
  • Identifying high-value product-management workflows suitable for AI assistance
Practical activities
  • Exploring a representative repository, Issues, Pull Requests, and Copilot workflow
  • Mapping Product Activity → Copilot Capability → Human Checkpoint → Business Outcome

Scenarios

Customer Need to Governed Product Feature Release

Customer Evidence → Copilot Space → Product Requirement → GitHub Issue & Sub-Issues → Copilot Cloud Agent → Implementation Pull Request → Copilot Code Review → Engineering Validation → Product Acceptance → Release

Participants manage a realistic product enhancement from customer evidence through implementation and acceptance while keeping requirement approval, architecture, security, product acceptance, and release decisions under accountable human ownership.

Product Initiative to Scalable Agentic Delivery Model

Strategic Product Objective → Shared Product Context → Custom Instructions → Custom Product Agent → Prioritised Issues → Parallel Agent Tasks → Pull Request Intelligence → Quality Review → Release Documentation → Governance & Performance Review

Participants design a repeatable product-engineering operating model that uses GitHub Copilot agents and shared context to accelerate delivery while maintaining traceability, security, quality, and responsible human decision-making.

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