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Mastering Claude Code: Practical AI Development, GitHub Automation, and Multi-Agent Collaboration

This is a comprehensive practical course for everyone, from developers new to Claude Code to those who want to actively utilize AI in their professional work. In this course, you will learn step-by-step, starting from the basic concepts and natural language processing principles of Claude Code to installation, conversation and session management, model and effort settings, and context management. Afterward, you will master practical development methods that can be immediately applied to real projects, such as codebase exploration, writing accurate prompts, bug debugging, TDD workflows, refactoring, and automated quality control using Hooks. Furthermore, it systematically covers the latest AI development processes using Claude Code, including Git PR code reviews, GitHub Actions automation, parallel development using Git Worktree, Skills development, sub-agent configuration, multi-agent collaboration, team standardization and onboarding, and technical documentation. The course is structured around examples and projects that can be directly applied in the field, allowing you to build development capabilities for real-world tasks rather than just learning simple features. You will fully master a new way of developing—collaborating with AI to maximize development productivity using Claude Code.

1 learners are taking this course

Level Beginner

Course period Unlimited

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What you will gain after the course

  • Claude Code Basics and Core Concepts - Claude's Natural Language Processing Principles, Installation, Chat and Session Management, Model and Effort Settings, and Context Management

  • Git·GitHub Collaboration Automation - Hands-on practice with Git PR code reviews, GitHub Actions integration, and parallel session tasks using Git Worktree

  • Practical Development Workflow - Codebase Exploration, Precise Instruction Methods, Bug Debugging, TDD Workflow, Refactoring, and Automated Quality Checks with Hooks

  • Skills·Sub-agents·Team Collaboration - Mastering Skills Utilization and Direct Development, Configuring Sub-agents and Agent Teams, Team Standardization·Onboarding, and Writing Cowork Development Documentation

Mastering Claude Code: From AI Development Automation to GitHub Collaboration and Multi-Agent Systems

Course Introduction

In the AI era, the ability to collaborate with AI has become just as important as the ability to write code yourself.

This course is a practical, comprehensive curriculum designed for everyone from developers using Claude Code for the first time to those looking to actively leverage AI in their professional workflow.

Starting with an understanding of the core concepts and natural language processing principles of Claude Code, you will learn step-by-step workflows used in real-world development environments, covering everything from code writing, debugging, refactoring, and test automation to GitHub collaboration, GitHub Actions, Git Worktree, Skills, Sub-Agents, and building multi-agent systems.

This is not just a lecture explaining features, but a course where you will learn how to utilize Claude Code as a development partner through practical, project-oriented examples.

The skills learned in this course are applied in the following fields.

  • AI Software Development

  • Backend Development

  • Frontend Development

  • Full Stack Development

  • DevOps

  • Software Engineering

  • Automation Engineering

  • Team Collaboration

  • Enterprise AI Workflow

What You’ll Learn


1. Claude Code Basics

  • Claude Code Installation and Environment Configuration

  • Understanding the Claude Code Interface

  • Natural Language Processing (NLP) Principles

  • Conversation & Session Management

  • Context Management

  • Working Memory

  • Model and Effort Settings


2. AI-Based Practical Development

  • Navigating Large Codebases

  • How to write accurate prompts

  • Code Generation Strategies

  • Bug Debugging

  • Refactoring Automation

  • Test code generation

  • Test-Driven Development(TDD)


3. Automated Development Workflow

  • Automated Quality Inspection using Hooks

  • Automation of repetitive tasks

  • Project Structure Analysis

  • File Management Automation

  • Establishing Productivity Enhancement Workflows


4. Git & GitHub Collaboration

  • Git Pull Request Review

  • GitHub Actions Automation

  • Git Worktree Parallel Development

  • Git-based AI Collaboration

  • Repository Management Strategy


5. Skills & Multi-Agent

  • Utilizing Claude Skills

  • Custom Skills Development

  • Sub-Agent Creation

  • Multi-Agent Team Composition

  • Separation of Agent Roles

  • Collaboration Automation


6. Practical Projects

In the lecture, based on actual projects,

  • AI Development Automation

  • GitHub Collaboration

  • Project Refactoring

  • Automated creation of development documentation

  • Writing Cowork Documentation

will be practiced.

Before You Enroll

Information Before Enrollment

Prerequisites

This course is designed to be taken by anyone, from beginners to professional developers.

However, you will be able to learn more easily if you are familiar with the following contents.

  • Basic programming syntax

  • Variables and functions

  • Basic Git usage (Optional)

  • GitHub account (recommended)

No prior experience with Claude Code is required.


Practice Environment

  • Windows

  • macOS

Any environment where Claude Code can be installed is acceptable.


Curriculum Structure

  • Theoretical Explanation

  • Practice-oriented

  • Real-world project examples

  • Practical Workflow

  • Reflecting the latest Claude Code features


Questions and Feedback

If you have any questions while taking the course, you can ask them at any time through the Q&A board.

We will respond as quickly as possible and work with you to resolve any issues that arise during the hands-on practice.


Lecture Updates

Claude Code and the AI development environment are changing rapidly.

If new features or major updates are released, the lectures will be continuously updated to reflect the latest content.


Recommended Learning Method

The most effective way to learn is to run Claude Code yourself and follow along with the hands-on exercises while watching the lectures.

By building projects yourself while following each lecture, you can improve your skills to a level where you can immediately apply Claude Code to your actual work.

Recommended for
these people

Who is this course right for?

  • Developers who are new to Claude Code and want to learn systematically from concepts to practical application.

  • Programmers who want to increase development productivity using AI

  • Those who want to automate debugging, TDD, and refactoring workflows with Claude Code

  • Those who want to master advanced usage such as Skills, sub-agents, and team collaboration

  • Those who wish to proceed with content creation, development projects, and analysis/design using Claude Code

Need to know before starting?

  • A computer capable of installing Claude Code (Windows or Mac)

  • Understanding basic programming concepts (variables, functions, etc.)

  • Claude account (Paid plan recommended - instructions included in the lecture)

  • Experience using Git/GitHub (not required)

Hello
This is eunj45339

As a computer education instructor, I specialize in teaching computer basics, C++ programming, Microsoft Excel, and the fundamentals of machine learning. I explain concepts easily and systematically through a step-by-step teaching method that is easy for beginners to intermediate learners to understand, providing practice-oriented learning. My goal is to help all learners build a solid foundation and develop the skills to apply them to real-world projects.
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Curriculum

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24 lectures ∙ (13hr 29min)

Course Materials:

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