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The Complete Guide to AI Development Workflows with Claude Code (Including Real-World Projects)

This course is a practical, hands-on guide for those who want to learn how to maximize development productivity in the AI era. Beyond simply learning how to use AI, we focus on how to utilize Claude Code in a real-world development environment and how to produce "proper results." Many developers use AI but still face issues such as: ❌ Inconsistent results ❌ Poor code quality ❌ Increasing project complexity To solve these problems, this course teaches you how to utilize AI as a "development partner" rather than just a tool through: ✔ Spec-based workflows ✔ Structured command systems ✔ Sub-agent and automation strategies Furthermore, you will gain the experience of completing and deploying a full application from start to finish by integrating with real-world services such as Firebase, Figma, GitHub, and Vercel.

2 learners are taking this course

Level Beginner

Course period Unlimited

claude
claude
JavaScript
JavaScript
TypeScript
TypeScript
Next.js
Next.js
Firebase
Firebase
claude
claude
JavaScript
JavaScript
TypeScript
TypeScript
Next.js
Next.js
Firebase
Firebase

What you will gain after the course

  • How to dramatically improve development speed using Claude Code

  • Designing a Spec-based (Plan & Spec) AI Development Workflow

  • Building an automation system using Slash Commands, Hooks, and Plugins

  • Task separation and parallel processing using subagents

  • Integrating external APIs and services (Firebase, Figma, etc.) via MCP server

  • Integrate with GitHub to automate PR reviews and collaboration

  • Deploying a real-world service using Vercel

Practical Guide to Claude Code for 10x AI Development Productivity (From Projects to Automation and Deployment)

Recommended For

Who This Course Is For (1)

Are you using AI tools but feeling frustrated because the results are inconsistent
or the code quality is uneven?

This course is not just about how to use AI, but for those who want to learn the
structure and methods to utilize AI 'properly'.

Who This Course Is For (2)

  • Developers who use ChatGPT or Claude but find it difficult to apply them to real-world tasks

  • Those who feel their development speed is slowing down due to repetitive tasks

  • Those interested in automation and productivity enhancement using AI

Who This Course Is For (3)

  • Those who want to learn AI-based development through real-world projects

  • Developers who want to experience real-world workflows connected with GitHub, Firebase, Vercel, etc.

  • Those who want to create a service that actually works, rather than just a "plausible result"

📌 After Taking This Course

After taking this course, you will experience the following changes:

  • Dramatically improve development speed using Claude Code

  • Systematically manage project structures through spec-based workflows thông qua quy trình làm việc dựa trên đặc tả (spec)

  • Minimize wasted time by automating repetitive tasks

  • Utilize Subagents and Plugins to efficiently separate and process complex tasks

  • Automate code reviews and collaboration through GitHub integration

  • Finally complete and deploy a production-level project

👉 As a result,
you will go beyond simply writing code and
master the development method of collaborating with AI..

What You’ll Learn

Section (1): Core Keywords

  • Basic concepts and practical applications of Claude Code

  • Automation using Slash Commands, Hooks, and Custom Commands

  • Context Management (Files, Images, Context Window)

  • Spec-based Development (Plan Mode, Extended Thinking)

💡 Example Learning Materials

  • Actual code flow diagram

  • Visualization of Command Structure

  • Example of AI response structure comparison

Section (2): Core Keywords

  • Integrating external services via MCP servers (Firebase, Figma, Context7)

  • Task separation and parallel processing using subagents

  • Expanding Claude with Plugins & Skills

  • GitHub Integration (PR Review, Automation)

  • Actual service deployment via Vercel

💡 Example Learning Materials

  • Overall System Architecture Diagram

  • Workflow Flowchart

  • Actual Project Result Screen

Frequently Asked Questions

Write at least three questions and answers that prospective students may have before enrolling. Instead of generic responses, show your personality and expertise in your answers.

Q. Why should I learn Claude Code?

AI is already changing the way we develop.
However, simply using AI is not enough.

In this course, you will learn
👉 "how to use it to actually increase productivity"
👉 "how to maintain the quality of the results"

You will learn these through a hands-on, practical approach.

Q. What will I be able to do after learning this?

  • Web application development based on AI

  • Building automated systems for repetitive tasks

  • GitHub-based collaboration automation

  • Actual service deployment and operation

In other words, you will acquire practical development skills using AI.

Q. What is the difficulty level of the course?

It is at an intermediate level.
If you have basic knowledge of JavaScript or web development, you will be able to follow along easily.

However, since the content itself covers in-depth practical levels,
it can be a challenging course even for beginners.

Q. Is there anything I need to prepare before taking the course?

  • Basic programming knowledge

  • HTML / CSS / JavaScript or TypeScript

  • (Optional) React / Next.js

Q. Can I apply what I learn in this course directly to real-world work?

Yes, it is possible.

This course is not theory-oriented,
👉 but is conducted based on actual projects
👉 and uses practical tools such as Firebase, GitHub, and Vercel.

Therefore, you can apply what you learn to your projects or work immediately after taking the course.

Before You Enroll

Prerequisites & Notices

  • Learning will be more effective if you have basic coding knowledge.

  • All lectures are conducted based on real-world development environments.

  • Lectures may be updated continuously.

💬 How to ask questions

  • You can ask questions at any time through the course Q&A.

  • Detailed answers are provided even for parts where you get stuck during practice.

🎯 Recommended Learning Method

  • Learning by following along directly rather than just watching.

  • Expand upon the lecture project to create your own project.

Recommended for
these people

Who is this course right for?

  • Beginner to intermediate developers who want to increase development productivity using AI

  • Those who use ChatGPT, Claude, etc., but are not utilizing them to their full potential

  • Developers who want to automate repetitive tasks and create efficient development workflows

  • Those who want to learn AI-based development through real-world projects

Need to know before starting?

  • Basic programming knowledge

  • Fundamentals of HTML, CSS, JavaScript, or TypeScript

  • (Optional) Basic understanding of React or Next.js

Hello
This is kimw24072

CEO of Answernus - Instructor for 5 regular IT courses at Multicampus (RPA & ChatGPT & Crawling & AI & PE) - Instructor for 5 regular Generative AI courses at Korea Management Association (RPA & ChatGPT & Crawling & AI & Data Processing) - Author of [2022 Sejong Book Award Selection] "Money-Making Python Coding for Non-IT Majors" - Author of [2023 Sejong Book Award Selection] "Python Business Automation (RPA) for Non-IT Majors" - Operator of the "Bihyeonko Automation Lab" YouTube channel - Conducted lectures for numerous major corporations and public enterprises including Samsung, Hyundai, SK, KT, and LG - Cumulative 6,600+ learners in offline Generative AI education & 500+ hands-on project coaching cases [As of 2024.12] - IT Education Consultant & Instructor at Samsung Group Multicampus - AI Education Planning / Operations at Hyundai Steel HRD, Hyundai Motor Group - 12 years of professional experience as a non-developer at Hyundai Steel, Hyundai Motor Group (Sales, Planning, System Design, HRD, etc.)
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Curriculum

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66 lectures ∙ (6hr 52min)

Course Materials:

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