AI curriculum

Course outline for Claude Code Engineering

Tool-driven repository work needs explicit scope and verification. Explore Claude Code workflows to organize context, reusable instructions, and reviewable automation.

Technology: AI-Assisted Software Engineering
Duration: 6 hours
Modules: 3 · 2 hours each
Level: Prerequisites listed

About Claude Code Engineering

Tool-driven repository work needs explicit scope and verification. Explore Claude Code workflows to organize context, reusable instructions, and reviewable automation.

Claude Code Engineering Course Objectives

Map repository context for a bounded change.
Describe skill, hook, and MCP integration boundaries.
Review an automated change against acceptance checks.

Pre-requisites

Programming, Git, and command-line experience.
Familiarity with AI-assisted development.

Lab Setup

Computer with Git and a disposable sample repository.
Claude Code access through an approved nonproduction account if available; supplied workflow traces support exercises without a paid subscription.
Do not include private credentials in prompts or repository files.

Detailed Course Outline

Proposed modules

Module 1: Repository orientation

Claude Code mental model
Repository exploration
Skills
Tools

Practical outcome: Prepare scoped instructions for a sample repository.

Module 2: Extending execution

Agents
Hooks
MCP

Practical outcome: Design a hook and a least-privilege tool integration.

Module 3: Repeatable workflows

Context management
Large codebase workflows
Automation patterns

Practical outcome: Break a repository task into reviewable steps.

Practical exercise

Plan and review a Claude Code-assisted change using isolated repository examples.

How we train

Ask about exercises, instructor feedback and the prior knowledge you need. Tool-specific courses marked provisional may become modules in a broader course.

Discuss your learning goals