Role-Based Programme
RB0318

GitHub Copilot for Project & Program Management

Explore AI-Assisted Planning, Issue Management & Delivery Coordination

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

Programme Objectives

  • Understand how GitHub Copilot can support project and program teams across requirements, work breakdown, delivery tracking, and technical coordination.
  • Explore AI-assisted creation and refinement of GitHub Issues, sub-Issues, acceptance criteria, and delivery tasks.
  • Use Copilot to understand Pull Requests, implementation progress, changes, and unresolved delivery concerns.
  • Experience bounded task delegation to Copilot Cloud Agent while maintaining project and engineering review checkpoints.
  • Recognise governance, security, scope-control, traceability, and human accountability requirements in AI-assisted delivery.

Tools covered

GitHub CopilotCopilot ChatGitHub Issues & Sub-IssuesCopilot Cloud AgentPull RequestsPull Request SummariesCopilot Code Review

Who should attend

  • Project Managers
  • Program Managers
  • Technical Project Managers
  • Program Coordinators
  • Project Coordinators
  • PMO Professionals
  • Delivery Managers
  • Implementation Managers
  • Technical Program Managers
  • Project Analysts
  • Transformation Project Professionals
  • Project & Program Leads

Prerequisites & Participant Readiness

  • Basic understanding of project or program management
  • Familiarity with tasks, milestones, dependencies, risks, issues, and delivery reporting
  • General awareness of software-development or technology-project 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 Issues, development work, Pull Requests, reviews, and agent-assisted execution
  • Mapping delivery activities across Define → Plan → Assign → Execute → Review → Complete
  • Understanding the relationship between project requirements and software-delivery artefacts
  • Differentiating AI assistance from accountable project, product, and engineering decisions
Practical activities
  • Exploring a representative repository, Issue, and Pull Request with Copilot
  • Mapping Project Activity → Copilot Capability → Human Review → Delivery Outcome

Scenarios

Project Requirement to Agent-Assisted Delivery

Business Requirement → Work Breakdown → GitHub Issues & Sub-Issues → Acceptance Criteria → Copilot Assignment → Implementation Pull Request → Engineering Review → Project Validation

Participants experience how a technology-project requirement can move from planning into agent-assisted execution while preserving ownership of scope, dependencies, acceptance, and final completion decisions.

Technical Change to Project Status & Release Readiness

Pull Request → Copilot Summary → Changed Components → Review / CI Status → Outstanding Issues → Project Impact → Release Coordination → Stakeholder Update

Participants use Copilot to understand technical delivery progress and convert implementation information into a concise project-management view without treating AI-generated summaries as a substitute for engineering or project validation.

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