Role-Based Programme
RB0316

GitHub Copilot for Information Technology

AI-Assisted Development, Automation, Troubleshooting & Secure Software Delivery

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

Programme Objectives

  • Develop functional proficiency in using GitHub Copilot across coding, codebase analysis, debugging, testing, documentation, and IT-support workflows.
  • Build reusable AI-assisted development workflows using Plan Mode, Agent Mode, Copilot CLI, repository context, and GitHub collaboration features.
  • Apply Copilot to feature implementation, refactoring, troubleshooting, test generation, technical documentation, and controlled repository changes.
  • Integrate GitHub Issues, Copilot Cloud Agent, pull requests, code review, and MCP-based context into practical software-delivery workflows.
  • Apply source-code protection, security validation, human technical judgement, permissions, change control, and responsible AI practices.

Tools covered

GitHub CopilotCopilot ChatAsk ModePlan ModeAgent ModeGitHub Copilot CLICopilot SpacesCopilot Cloud AgentGitHub IssuesPull RequestsCopilot Code ReviewRepository Custom InstructionsAGENTS.mdMCP Servers

Who should attend

  • IT Managers
  • Software Developers
  • Application Developers
  • Full-Stack Developers
  • System Analysts
  • Application Support Engineers
  • DevOps Engineers
  • Platform Engineers
  • Cloud Engineers
  • IT Operations Professionals
  • Technical Support Engineers
  • Technical / Engineering Team Leads

Prerequisites & Participant Readiness

  • Working understanding of software applications or enterprise IT environments
  • Basic programming or scripting knowledge
  • Familiarity with Git repositories and software-development concepts
  • Basic knowledge of APIs, databases, testing, or command-line tools is helpful
  • Familiarity with GitHub Issues and Pull Requests is helpful
  • No requirement to complete shorter GitHub Copilot courses
  • Organisational policies should be followed when working with proprietary code, credentials, production information, customer data, and sensitive systems

TOC Modules

Concepts
  • Understanding GitHub Copilot across IDE, command line, GitHub.com, and agent-driven workflows
  • Exploring code suggestions, Chat, planning, autonomous Agent execution, and repository workflows
  • Mapping Requirement → Context → Plan → Code → Test → Review
  • Identifying activities appropriate for Copilot assistance versus accountable engineering decisions
Practical activities
  • Exploring Copilot within a sample development project
  • Asking Copilot to explain application architecture and major components
  • Identifying relevant files for a technical requirement
  • Creating an AI-assisted software-delivery workflow map

Scenarios

Production Application Issue to Validated Resolution

Production Issue → Logs & Error Evidence → Copilot Investigation → Codebase Analysis → Root-Cause Hypothesis → Engineer Validation → Agent-Assisted Fix → Automated Tests → Copilot Code Review → Human Approval → Controlled Release

Participants use GitHub Copilot throughout a realistic application-support lifecycle while maintaining technical validation, regression testing, code review, and release authority with qualified IT professionals.

IT Requirement to Agent-Assisted Feature Delivery

IT Requirement → GitHub Issue → Copilot Plan Mode → Agent Mode / Cloud Agent → Multi-File Implementation → MCP Context → Automated Testing → Pull Request → Copilot Code Review → Engineering Review → Approved Release

Participants integrate planning, autonomous development, connected enterprise context, testing, pull-request review, and human governance to deliver a controlled application enhancement.

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