Claude Code
This job-oriented course teaches developers, DevOps engineers, and IT professionals how to use Claude Code throughout the software development lifecycle. Progress from installation and codebase understanding to AI-powered engineering, MCP integrations, advanced automation, cloud delivery, and enterprise security.
Curriculum Areas
- Module 1 - Introduction to Claude Code
- Module 2 - Installation & Environment Setup
- Module 3 - Claude Code Fundamentals
- Module 4 - Effective Prompting for Claude Code
- Module 5 - CLAUDE.md & Project Instructions
- Module 6 - Codebase Understanding
- Module 7 - Coding with Claude Code
- Module 8 - Debugging & Troubleshooting
- Module 9 - Testing with Claude Code
- Module 10 - Git & GitHub Integration
- Module 11 - Claude Code + MCP
- Module 12 - Claude Code for Web Development
- Module 13 - Claude Code for Python
- Module 14 - Claude Code for DevOps
- Module 15 - Claude Code for Cloud
- Module 16 - Advanced Claude Code
- Module 17 - AI-Powered Software Engineering
- Module 18 - Security & Best Practices
Claude Code Curriculum
- What is Claude Code?
- Claude Code vs traditional coding assistants
- AI-assisted software development
- Claude Code architecture and workflow
- Use cases for developers, DevOps and IT engineers
- Claude Code capabilities and limitations
- Claude Code installation
- CLI fundamentals
- Authentication and configuration
- Project initialization
- Working with existing repositories
- Terminal workflow
- Configuration and permissions
- Environment variables
- Understanding the Claude Code interface
- Asking Claude to understand a codebase
- Reading and explaining code
- Creating files
- Editing existing files
- Refactoring code
- Deleting and reorganizing code
- Running commands through Claude Code
- Reviewing AI-generated changes
- Prompt engineering for coding
- Writing clear development requirements
- Context management
- Giving Claude project instructions
- Task decomposition
- Debugging prompts
- Refactoring prompts
- Code-review prompts
- Iterative development with Claude
- What is CLAUDE.md?
- Project-level instructions
- User-level instructions
- Coding standards
- Architecture guidelines
- Testing requirements
- Documentation rules
- Managing instructions for large projects
- Exploring large repositories
- Understanding project architecture
- Finding relevant files
- Dependency analysis
- Tracing application flows
- Understanding APIs
- Understanding databases
- Working with unfamiliar codebases
- Generate new applications
- Add new features
- Modify existing features
- Refactor legacy code
- Generate boilerplate
- Implement APIs
- Create database models
- Generate frontend components
- Generate backend services
- Error analysis
- Stack trace investigation
- Debugging application failures
- Fixing compilation errors
- Runtime troubleshooting
- Dependency issues
- Performance troubleshooting
- Log analysis
- Root-cause analysis
- Unit testing
- Integration testing
- Test generation
- Test execution
- Test coverage
- Test-driven development
- Regression testing
- Debugging failed tests
- Automated test workflows
- Git fundamentals
- Working with Git repositories
- Branch management
- Git diff
- Commit generation
- Pull request preparation
- Code review
- Merge conflict resolution
- GitHub workflows with Claude Code
- What is Model Context Protocol (MCP)?
- MCP architecture
- MCP servers
- MCP tools and resources
- Connecting external systems
- Database integration
- GitHub integration
- Documentation integration
- Building custom MCP servers
- HTML/CSS/JavaScript development
- React applications
- Next.js projects
- Frontend debugging
- REST APIs
- Backend development
- Full-stack application development
- UI improvement with AI
- Python project development
- Virtual environments
- Package management
- Python debugging
- FastAPI applications
- Django applications
- Python testing
- Automation scripts
- Docker
- Kubernetes
- CI/CD
- GitHub Actions
- Infrastructure as Code
- Terraform
- Linux administration
- Shell scripting
- Cloud deployment
- DevOps troubleshooting
- AWS development
- Azure development
- GCP development
- Cloud CLI integration
- Infrastructure automation
- Cloud troubleshooting
- Serverless applications
- Cloud security considerations
- Subagents
- Parallel development tasks
- Custom workflows
- Automation
- Hooks
- Custom commands
- Reusable development workflows
- Large-scale codebase management
- Context optimization
- AI pair programming
- Specification-driven development
- AI code review
- AI refactoring
- Automated documentation
- Legacy code modernization
- Code migration
- Dependency upgrades
- Developer productivity workflows
- Permission management
- Safe command execution
- Secrets protection
- Secure coding
- Prompt injection awareness
- Reviewing AI-generated code
- Dependency security
- Avoiding destructive operations
- Enterprise security practices