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Course Outline

Introduction to Claude Code

  • Understanding what Claude Code is and how it differs from copilots.
  • Key features: codebase understanding, multi-file editing, and terminal integration.
  • Overview of the agent loop and planning capabilities.

Installation and Configuration

  • Installing Claude Code via npm and official packages.
  • Setting up API keys and authentication for Anthropic models.
  • Terminal configuration and IDE plugin options.
  • Managing context windows and token limits.

Navigating Codebases with Natural Language

  • Using search and query commands across files.
  • Understanding file relationships and dependencies.
  • Refactoring and restructuring code using prompts.

Multi-File Editing Workflows

  • Building features that span multiple files.
  • Managing cross-file dependencies.
  • Testing and validation after automated edits.

Approval Modes and Security

  • Automatic, semi-automatic, and manual approval levels.
  • Setting boundaries for agent autonomy.
  • Reviewing changes before application in production contexts.

Git Integration

  • Initiating branches and commits with Claude Code.
  • Diff review and assistance with merge conflicts.
  • Generating commit messages and creating changelogs.

Debugging and Bug Fixing

  • Identifying root causes across the codebase.
  • Applying targeted patches and running tests.
  • Using the agent for regression testing.

Team and Enterprise Features

  • Shared context and team-specific configurations.
  • Custom rules and style enforcement.
  • Enterprise deployment patterns and Single Sign-On (SSO) considerations.

CI/CD and Automation Workflows

  • Triggering agent tasks from pipeline events.
  • Pre-commit checks and automated code review.
  • Running Claude Code in headless and CI environments.

Performance Optimisation

  • Managing large codebases within context limits.
  • Splitting workloads and caching session data.
  • Selecting the appropriate model tier for the task.

Troubleshooting

  • Resolving common connection and authentication issues.
  • Debugging agent misinterpretations and incorrect edits.
  • Handling rate limits and token exhaustion.

Security and Compliance

  • Data handling and privacy considerations.
  • Managing sensitive credentials and secrets within the agent context.
  • Enterprise audit trails and governance.

Summary and Next Steps

  • Recap of key features and workflows.
  • Resources for continued learning and community support.
  • Transition to advanced Claude Code topics.

Requirements

  • Experience in software development using at least one programming language.
  • Basic proficiency with command-line and terminal usage.
  • Familiarity with Git and version control workflows.

Target Audience

  • Software developers aiming to accelerate development through agentic AI.
  • Engineering leads evaluating AI-assisted coding tools for their teams.
  • DevOps engineers integrating AI agents into CI/CD workflows.
 14 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 2600 € + VAT*

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