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Course Outline
Introduction to Claude Code
- Understanding Claude Code and its distinction from traditional copilots
- Core capabilities: codebase comprehension, multi-file editing, and terminal integration
- Overview of the agent loop and planning functionalities
Installation and Setup
- Installing Claude Code using npm and official packages
- Configuring API keys and authentication for Anthropic models
- Terminal settings and IDE plugin integration options
- Managing context windows and token constraints
Navigating Codebases via Natural Language
- Employing search and query commands across various files
- Grasping file relationships and dependencies
- Refactoring and restructuring code through prompts
Multi-File Editing Processes
- Developing features that extend across multiple files
- Managing cross-file dependencies
- Conducting testing and validation following automated edits
Approval Modes and Security
- Different levels of automatic, semi-automatic, and manual approval
- Defining boundaries for agent autonomy
- Reviewing changes prior to deployment in production environments
Git Integration
- Creating branches and commits using Claude Code
- Assistance with diff reviews and merge conflicts
- Generating commit messages and creating changelogs
Debugging and Bug Resolution
- Pinpointing root causes throughout the codebase
- Applying specific patches and executing tests
- Leveraging the agent for regression testing
Team and Enterprise Capabilities
- Shared contexts and team-specific configurations
- Custom rules and style enforcement mechanisms
- Enterprise deployment patterns and SSO considerations
CI/CD and Automation Workflows
- Initiating agent tasks via pipeline events
- Pre-commit checks and automated code review processes
- Running Claude Code in headless and CI environments
Performance Optimization
- Handling large codebases within context limitations
- Distributing workloads and caching session data
- Selecting the appropriate model tier for specific tasks
Troubleshooting
- Addressing common connection and authentication issues
- Debugging agent misinterpretations and erroneous edits
- Managing rate limits and token depletion
Security and Compliance
- Data handling and privacy implications
- Managing sensitive credentials and secrets within the agent context
- Enterprise audit trails and governance practices
Summary and Future Directions
- Review of key features and workflows
- Resources for ongoing learning and community engagement
- Transition to advanced Claude Code topics
Requirements
- Practical experience in software development using at least one programming language
- Fundamental knowledge of command-line and terminal operations
- Working familiarity with Git and version control procedures
Target Audience
- Software developers aiming to enhance productivity using agentic AI
- Engineering leaders assessing AI-assisted coding tools for their teams
- DevOps engineers looking to incorporate AI agents into CI/CD workflows
14 Hours
Testimonials (2)
Learning how to prompt Claude and use it to digest all of the data I have available.
Mike Hartleroad - Furniture Row
Course - Claude AI for Data Analysis and Business Intelligence
how to engage with the Office environment and set up repetitive tasks
