Role-Based Programme
RB0317

GitHub Copilot for Information Technology

Advanced AI-Assisted Software Engineering, Automation & IT Operations

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

Programme Objectives

  • Develop advanced expertise in using GitHub Copilot across software development, codebase analysis, troubleshooting, testing, technical documentation, and IT automation.
  • Apply agentic coding workflows to implement complex features, resolve defects, modernize applications, and execute multi-step development tasks.
  • Build secure and reusable engineering workflows connecting requirements, repositories, APIs, testing, pull requests, CI/CD concepts, and operational processes.
  • Use GitHub Copilot to improve collaboration across development, DevOps, application support, infrastructure, platform, and IT operations teams.
  • Apply secure coding, human review, change control, source-code governance, access management, and responsible AI practices throughout the software lifecycle.

Tools covered

GitHub CopilotCopilot ChatAgent ModeCoding AgentCode SuggestionsRepository ContextGitHub IssuesPull RequestsCopilot Code ReviewGitHub Actions ConceptsTest GenerationDocumentation SupportGitHub RepositoriesAPI IntegrationMCP Integration ConceptsGit WorkflowsDebugging & IT Automation

Who should attend

  • Software Developers
  • Application Developers
  • Software Engineers
  • DevOps Engineers
  • Platform Engineers
  • Cloud Engineers
  • Application Support Engineers
  • IT Automation Professionals
  • System Administrators
  • Integration Engineers
  • Site Reliability Professionals
  • Technical Support Engineers
  • Solution Architects
  • Technical Leads
  • IT Engineering Managers

Prerequisites & Participant Readiness

  • Working knowledge of software development or IT engineering
  • Basic programming proficiency in at least one commonly used language
  • Familiarity with Git, repositories, branches, commits, and pull requests
  • Basic knowledge of APIs, application architecture, and software testing
  • Familiarity with command-line tools and development environments
  • Awareness of cybersecurity, access control, secrets, and software change-management practices
  • No previous GitHub Copilot course required

TOC Modules

Concepts
  • Understanding GitHub Copilot across chat, code completion, repository context, agentic coding, and review workflows
  • Understanding the role of Copilot across development, operations, support, automation, and modernization
  • Understanding repository context, instructions, permissions, and development boundaries
  • Differentiating AI-generated implementation from accountable engineering judgement
Practical activities
  • Exploring GitHub Copilot within a multi-component application repository
  • Using Copilot to explain application architecture and dependencies
  • Mapping Technical Need → Copilot Capability → Engineer Review → Outcome

Scenarios

Legacy Application Requirement to Modernized Feature

Business Requirement → GitHub Issue → Repository Analysis → Copilot-Assisted Architecture Review → Agentic Multi-File Development → Automated Tests → Pull Request → Security & Engineering Review → Controlled Release

Participants use GitHub Copilot to modernize and enhance an existing application while maintaining requirement traceability, peer review, testing, security validation, and release governance.

Repetitive IT Process to Governed Automation

Manual IT Process → Automation Requirements → GitHub Copilot Development → API / Tool Integration → Error Handling → Automated Testing → Pull Request Review → Approval Gate → Controlled Operational Use

Participants build an IT automation solution with GitHub Copilot while ensuring access permissions, security, validation, logging, exception handling, and production decisions remain under authorized IT ownership.

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