Role-Based Programme
RB0882

Claude Code for Information Technology

Build, Debug, Automate & Support IT Systems with AI

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

Programme Objectives

  • Develop functional proficiency in using Claude Code for application development, maintenance, troubleshooting, automation, and IT support.
  • Build reusable workflows for codebase understanding, implementation planning, testing, debugging, documentation, and Git operations.
  • Integrate Claude Code with external IT tools and services through MCP, hooks, APIs, and automated workflows.
  • Apply permission, security, validation, and governance controls when using agentic AI within enterprise IT environments.
  • Use Claude Code to improve application support, engineering productivity, technical documentation, and operational problem resolution.

Tools covered

Claude CodePlan ModeCodebase AnalysisCLAUDE.mdGit WorkflowsTest ExecutionDebuggingHooksMCPClaude Code SDKGitHub ActionsPermissions & Security Controls

Who should attend

  • IT Professionals
  • Software Developers
  • Application Support Engineers
  • DevOps Engineers
  • System Engineers
  • Cloud Engineers
  • Platform Engineers
  • Technical Support Engineers
  • IT Operations Professionals
  • System Administrators
  • Integration Engineers
  • Solution Engineers
  • Technical Leads
  • IT Engineering Managers

Prerequisites & Participant Readiness

  • Basic understanding of software applications and IT environments
  • Basic programming or scripting knowledge
  • Familiarity with command-line environments and Git is helpful
  • Basic understanding of software testing and troubleshooting
  • Familiarity with APIs, cloud platforms, or DevOps workflows is beneficial
  • Previous Claude Code experience is helpful but not mandatory
  • Completion of a shorter Claude Code programme is not required

TOC Modules

Concepts
  • Understanding Claude Code as an agentic coding and IT engineering assistant
  • Understanding how Claude Code reads files, edits code, executes commands, and interacts with development tools
  • Understanding the Analyse → Plan → Execute → Test → Review workflow
  • Identifying applications across development, support, operations, automation, and maintenance
Practical activities
  • Configuring Claude Code within a sample project environment
  • Exploring an unfamiliar codebase using natural-language questions
  • Mapping common IT activities to relevant Claude Code capabilities

Scenarios

Production Incident to Validated Resolution

Production Alert → Logs & Codebase Analysis → Claude Code Investigation → Root-Cause Hypothesis → Fix → Automated Tests → Regression Validation → Git Review → Support Documentation

Participants use Claude Code to investigate an application incident, trace the problem across the codebase, implement and validate remediation, and produce reusable operational documentation.

IT Change Request to Controlled Delivery

Change Request → Plan Mode → Dependency Analysis → Implementation → Tests → Git Workflow → Automated Checks → Technical Review → Deployment Readiness

Participants build a controlled Claude Code-assisted engineering workflow that converts an IT change request into tested, documented, review-ready code while maintaining human approvals and security controls.

## Current Capability Reference

Claude Code currently supports direct codebase exploration, file editing, command and test execution, Git operations, non-interactive CLI workflows, configurable permissions, project instructions through CLAUDE.md, MCP connectivity, and GitHub Actions-based automation.

Claude Code also uses permission controls for potentially consequential actions, and Anthropic documents enterprise deployment patterns involving corporate proxies, LLM gateways, Amazon Bedrock, and Google Vertex AI.

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