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elifarley/claude-code-training

Slides and demos for a training course on Claude Code

Claude Code Training Course

A comprehensive training presentation and hands-on lab exercises for using Claude Code in professional software development workflows.

๐ŸŽฏ What You'll Learn

This course teaches professional developers how to:

  • Create complete projects from scratch using Claude Code
  • Navigate and understand complex codebases with AI assistance
  • Implement the "branch-first" workflow for safe experimentation
  • Generate comprehensive tests and documentation
  • Refactor legacy code and modernize applications
  • Use advanced Claude Code features like Plan Mode and custom commands
  • Extend capabilities with Skills and Plugins for specialized workflows
  • Customize output styles for different learning preferences
  • Understand and leverage subagents for complex multi-step tasks
  • Implement sophisticated automation with hooks and event-driven workflows

๐Ÿš€ Course Materials

This repository contains all the materials for the Claude Code Training course:

  • slides.md: The main Slidev presentation with interactive demos
  • lab_handout.md: Progressive hands-on labs from beginner to advanced
  • exercises.md: Instructor-led demos and exercises using real codebases
  • custom-commands.md: Showcase of powerful custom slash commands for workflow automation
  • commands/: Ready-to-use custom command files for students
  • skills-and-plugins/: Examples of custom skills and plugin configurations
  • hooks-examples/: Advanced hook patterns for workflow automation
  • exercises/: A collection of diverse sample projects:
    • Python: Flask web app (weather-app) and legacy API (flask-api)
    • JavaScript/TypeScript: Interactive web application (lyrics-trainer)
    • Java: Modern Spring Boot service (certificate-service) and legacy Grails app (shopping-service)

๐Ÿƒโ€โ™€๏ธ Running the Presentation

  1. Install dependencies:

    pnpm install
  2. Start the presentation:

    pnpm dev
  3. Open your browser at http://localhost:3030

๐Ÿ“š Getting Started with the Labs

Prerequisites

  • Claude Code installed and configured
  • API key set: export ANTHROPIC_API_KEY="your-key"
  • Development environment for Python, JavaScript/TypeScript, and Java
  • VS Code (optional, for IDE integration demonstrations)
  • Docker (optional, for MCP and containerized workflow examples)

Lab Structure

The lab_handout.md contains six progressive labs:

  1. Project Creation from Scratch - Build a lyrics display app (recreates the lyrics-trainer origin story)
  2. Claude Code Basics - Interface and project exploration
  3. Code Exploration - Understanding complex codebases
  4. Test Generation - Automated testing with AI
  5. Documentation Creation - Professional documentation workflows
  6. Legacy Code Refactoring - Modernizing Grails/Groovy applications
  7. Advanced Workflows - Plan Mode, Skills, Plugins, Output Styles, Hooks, CLAUDE.md, and custom commands

Custom Commands

Students can explore and use pre-built custom slash commands:

  • Copy commands from commands/ to ~/.claude/commands/
  • See custom-commands.md for detailed explanations and usage examples
  • Commands include Java modernization, Spring generators, security reviews, and more

Teaching Notes

The exercises.md file contains detailed instructor guidance with specific prompts and a progressive story arc using the flask-api project as the primary demonstration vehicle.

๐Ÿ—๏ธ Course Philosophy

  • Branch-First Workflow: Emphasizes safe experimentation through Git branching
  • Practical Learning: Real-world projects across multiple languages and frameworks
  • Progressive Complexity: From simple tasks to advanced enterprise workflows
  • Best Practices: Professional development patterns and security considerations
  • Extensibility First: Skills and plugins provide persistent, reusable domain expertise
  • Adaptive Learning: Output styles and hooks adapt to diverse learning contexts
  • Intelligent Automation: Subagents handle specialized tasks automatically for optimal performance

๐Ÿ‘ค Author

Ken Kousen

Languages

Java50.9%Groovy10.9%HTML10.8%TypeScript10.4%CSS6.7%Python3.7%Shell3.0%JavaScript1.9%Batchfile1.4%Vue0.1%Procfile0.0%

Contributors

MIT License
Created November 14, 2025
Updated November 14, 2025
elifarley/claude-code-training | GitHunt