Role-Based Programme
RB0315

GitHub Copilot for Information Technology

Build AI-Assisted Coding, Troubleshooting & Software Delivery Workflows

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability in using GitHub Copilot across software development, application support, troubleshooting, testing, and technical documentation.
  • Use Copilot to understand unfamiliar codebases, generate and modify code, investigate defects, and explain technical implementations.
  • Apply Plan and Agent workflows to break IT requirements into controlled implementation tasks and execute multi-step development activities.
  • Strengthen testing, Pull Request review, and software-quality practices using Copilot-assisted workflows.
  • Maintain security, source-code confidentiality, human technical validation, and change-control practices throughout AI-assisted development.

Tools covered

GitHub CopilotCopilot ChatAsk ModePlan ModeAgent ModeCopilot Cloud AgentGitHub IssuesPull RequestsCopilot Code ReviewCustom InstructionsAGENTS.md

Who should attend

  • Software Developers
  • Application Developers
  • IT Application Professionals
  • Application Support Engineers
  • Technical Support Engineers
  • System Analysts
  • DevOps Professionals
  • Platform Engineers
  • IT Automation Professionals
  • Software Engineers
  • Technical Leads
  • IT Development Team Members

Prerequisites & Participant Readiness

  • Basic understanding of software-development or application-support processes
  • Familiarity with at least one programming language is recommended
  • Basic understanding of source code, repositories, and Git concepts is helpful
  • Familiarity with debugging and software testing is beneficial
  • General awareness of generative AI is helpful
  • No previous GitHub Copilot course completion required

TOC Modules

Concepts
  • Understanding GitHub Copilot across coding, explanation, planning, editing, testing, and software-delivery workflows
  • Comparing Ask Mode, Plan Mode, and Agent Mode for different technical activities
  • Understanding when to use interactive assistance versus autonomous multi-step execution
  • Differentiating generated suggestions from technically validated implementation
Practical activities
  • Exploring a representative repository with Copilot Chat
  • Using Copilot to explain unfamiliar code and application behaviour
  • Mapping IT Task → Copilot Mode → Human Review → Technical Outcome

Scenarios

IT Requirement to Tested Application Enhancement

Business Requirement → Copilot Plan → Codebase Analysis → Agent-Assisted Development → Unit Tests → Pull Request → Copilot Code Review → Engineer Validation → Approved Change

Participants convert a representative IT requirement into a tested software change while maintaining human ownership of architecture, code quality, security, and final release approval.

Application Defect to Controlled Resolution

Production / Application Issue → Logs & Error Context → Copilot-Assisted Diagnosis → Relevant Code Identification → Proposed Fix → Targeted Tests → Pull Request Review → Technical Validation

Participants use GitHub Copilot to accelerate defect investigation and remediation while independently validating the root cause, generated fix, regression impact, and release readiness.

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