Role-Based Programme
RB0314

GitHub Copilot for Information Technology

AI-Assisted Coding, Troubleshooting & Technical Productivity

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

Programme Objectives

  • Understand how GitHub Copilot can support everyday IT activities across coding, troubleshooting, documentation, testing, and technical support.
  • Explore AI-assisted code generation, explanation, modification, and repository understanding.
  • Use Copilot to structure technical requirements, investigate errors, generate tests, and improve technical documentation.
  • Identify practical applications across software development, application support, DevOps, and IT automation.
  • Apply secure coding, source validation, human review, access control, and responsible AI practices.

Tools covered

GitHub CopilotCopilot ChatCode SuggestionsRepository ContextGitHub IssuesPull RequestsCode Review ConceptsTest GenerationDocumentation Support & Basic Agentic Coding Concepts

Who should attend

  • Software Developers
  • Application Developers
  • IT Engineers
  • Application Support Professionals
  • Technical Support Engineers
  • DevOps Professionals
  • System Administrators
  • IT Automation Professionals
  • Platform Professionals
  • Integration Professionals
  • IT Analysts
  • Technology Consultants
  • Technical Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of programming or software-development concepts
  • Familiarity with applications, scripts, or technical support activities
  • Basic awareness of Git and repository concepts is helpful
  • Familiarity with command-line or development tools is beneficial
  • Awareness of cybersecurity and credential-handling requirements
  • No advanced programming expertise required
  • No previous GitHub Copilot experience required

TOC Modules

Concepts
  • Understanding GitHub Copilot as an AI-assisted software-development capability
  • Understanding Copilot Chat, code suggestions, repository context, and development assistance
  • Identifying IT use cases across coding, support, troubleshooting, testing, and automation
  • Differentiating AI-generated code from technically validated implementation
Practical activities
  • Exploring GitHub Copilot within a sample repository
  • Generating a simple code snippet from a technical requirement
  • Mapping IT Task → Copilot Support → Human Review → Outcome

Scenarios

Application Error to Validated Fix

Application Issue → GitHub Copilot Analysis → Diagnostic Questions → Code Review → Suggested Fix → Testing → Engineer Validation → Controlled Change

Participants use GitHub Copilot to investigate and resolve a technical issue while keeping root-cause confirmation, code acceptance, and release decisions under qualified technical ownership.

IT Requirement to Working Feature

Technical Requirement → GitHub Issue → Copilot-Assisted Code Generation → Feature Build → Test Cases → Pull Request Review → Engineer Approval

Participants convert a simple IT requirement into a tested application feature while maintaining human review, security validation, and GitHub-based change traceability.

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