Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to Claude Code
- Defining Claude Code and distinguishing it from standard copilots
- Core features: codebase comprehension, multi-file editing, and terminal integration
- An overview of the agent loop and its planning capabilities
Installation and Configuration
- Deploying Claude Code via npm and official distribution packages
- Configuring API keys and authentication for Anthropic models
- Terminal setup and exploring IDE plugin options
- Managing context windows and token limitations
Navigating Codebases with Natural Language
- Executing search and query commands across various files
- Analyzing file relationships and interdependencies
- Refactoring and restructuring code using prompt-based instructions
Multi-File Editing Workflows
- Developing features that require changes across multiple files
- Managing dependencies across different files
- Conducting testing and validation following automated edits
Approval Modes and Security
- Understanding automatic, semi-automatic, and manual approval levels
- Defining boundaries for agent autonomy
- Reviewing changes prior to application in production settings
Git Integration
- Creating branches and commits using Claude Code
- Reviewing diffs and resolving merge conflicts with assistance
- Generating commit messages and creating changelogs
Debugging and Bug Fixing
- Identifying root causes throughout the codebase
- Applying targeted patches and executing tests
- Utilizing the agent for regression testing purposes
Team and Enterprise Features
- Implementing shared context and team-specific settings
- Enforcing custom rules and code style standards
- Enterprise deployment strategies and SSO considerations
CI/CD and Automation Workflows
- Initiating agent tasks based on pipeline events
- Performing pre-commit checks and automated code reviews
- Executing Claude Code in headless and CI environments
Performance Optimization
- Handling large codebases within context constraints
- Dividing 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
- Considerations for data handling and privacy
- Managing sensitive credentials and secrets within the agent's context
- Enterprise audit trails and governance protocols
Summary and Next Steps
- Review of core features and established workflows
- Access to resources for continued learning and community engagement
- Pathways to advanced Claude Code topics
Requirements
- Practical experience in software development using at least one programming language
- Foundational knowledge of command-line and terminal operations
- Proficiency with Git and version control workflows
Target Audience
- Software developers aiming to accelerate their workflow using agentic AI
- Engineering leads assessing AI-assisted coding tools for their teams
- DevOps engineers focused on integrating AI agents into CI/CD pipelines
Testimonials (2)
Considerations about privacy and policy
Angelo Stefano Soglia - Parkino srl
Course - Claude AI for Workflow Automation and Productivity
Learning how to prompt Claude and use it to digest all of the data I have available.
