AI is no longer a choice—it’s a matter of survival. Cut development time from 3 days to 30 minutes, delegate repetitive tasks to AI, and focus on solving more important problems. With AI-native development techniques you can apply immediately in real-world work—not just theory—we’ll show you a surefire way to be recognized at your company as a “developer who excels at AI.”
978 learners
Level Basic
Course period Unlimited
Reviews from Early Learners
5.0
SSAMI
Using AI directly in the terminal for the first time felt distinctly different from my previous experiences of interacting with it on the web, where only snippets of code were shown. Now that I can receive reviews and assistance from an AI Agent based on the entire project, I was particularly impressed by how it provides answers with a full understanding of the context. Because of that, the quality of the responses felt significantly higher. Following the lecture was more intense than I expected. I listened to the lecture while following along with the hands-on exercises, but since it was difficult to keep listening while waiting for the AI's responses, it sometimes took me about 5 hours to finish a 1-hour lecture. Even so, it was so helpful that I didn't feel like that time was wasted at all. It wasn't just a vague feeling of "AI is good"; it hit me very realistically that I can truly accomplish so much with AI. Thanks to this, I found myself thinking a lot about what I can do in this era and what I should focus on to grow in the future. It was a lecture that provided great insights in many ways.
5.0
jsoonworld
There are many AI-related courses on the market, but most of them are disappointing as they only cover theory or simple chatbot usage. I've heard a lot about "AI can increase development productivity," but I was at a loss about how to start when I came across this course. To cut to the chase, this is a unique course that clearly shows from a practical perspective what an 'AI native developer' is and how to collaborate with AI. Particularly, the 'Mastering Context Management' and 'AI Junior Developer Onboarding' parts in Week 1 were shocking. Beyond simply learning how to write good prompts, I learned how to assign clear roles and rules (constitution) to AI and maximize AI's potential through techniques like 'intelligent context injection,' making me think 'this is real AI utilization.' The instructor generously incorporated know-how from actual field experience, so throughout the course, I felt like a skilled mentor was coaching me directly. I became convinced that reducing 3 days of development to 30 minutes is no longer an empty marketing phrase. Even though I've only completed Week 1, I'm already overflowing with ideas to apply to my work. I'm so excited about the upcoming Week 2 automation, and Weeks 3-4 DevOps and project completion processes. If you're a developer like me who wants to properly utilize AI, or someone who wants to break free from repetitive tasks and focus on more important problems, you absolutely won't regret it. If you want to transform into a developer who achieves overwhelming results, you must take this course! I highly recommend it.
5.0
테이크
I think it's great to gain a kind of experience rather than just creating simple screens or following along. Since AI keeps releasing new versions and new services, it seems like it became an opportunity to quickly experience those worth trying among them. At first, I thought I could approach it lightly, but later I started thinking I should apply it to my work. It's been a while since I listened to a lecture with such smooth speed and clear, loud voice without interruptions. I saw the sample lecture diction and curriculum and made an impulse purchase right away. I'm looking forward to the remaining lectures too.
Mastering AI Collaboration Workflows Completely
GitHub, Jira, and browser automation using MCP
AI-Powered Infrastructure Management Using Terraform and Docker
Real-time monitoring system using Sentry and Langfuse
Design Patterns for Hooks and Commands for AI Quality Management
This course will be updated according to Claude updates.
26/4/20 Week 1, Sections 9, 10, and 11 added
April 30, 2026 Week 2, Sections 10 and 11 added
AIdevelopers who don't use and AIdevelopers who do use it are competing.
If they’re developing the same feature, but one takes 3 days and the other takes 30 minutes?
One person spends time every day creating Git branches and agonizing over commit messages,
What if the other person focuses on solving truly important problems while AI handles all the repetitive tasks?
The result is obvious.
But now, developers who 'properly leverage AI' dominate the market.
AI is not your competitor—it is the weapon that sets you apart from other developers.
Examples of how working developers applied what they learned (2025.12.12)
Is there a way to train AI to be like your colleague? - Dingcodingco YouTube
I am a working developer who is currently driving the adoption of AI tools like crazy at my company.
From building MCP servers to automating the GitHub CLI and integrating Jira, I have hands-on experience that has actually improved my team’s productivity and earned recognition.
Everything in this course is a workflow that has been applied in real-world work. These are systems currently being used together with hundreds of engineers.
If you want to be recognized at your company as an "AI-proficient developer", this course is the answer.
Selection of an In-House AI Utilization MVP
AI New Hire Onboarding - Teaching the Rules
CLAUDE.md: Create a project constitution to convey your team's rules perfectly to AI
Command Automation: Transform complex prompts into commands like /create-component
Hooks Quality Control: An automated validation system that prevents AI from making mistakes in advance
Hands-on Practice: Automating Consistent Component Generation in a Next.js + TypeScript Project
Give AI Wings with MCP - Connect to the Outside World
Playwright MCP: AI opens the browser to automatically run E2E tests
GitHub CLI automation: Fully automate everything from branch creation to PR merging
Jira MCP Integration: Systematically manage Epics → Stories → Tasks in natural language from the terminal
Hands-on practice: AI reads GitHub issues, writes code to solve them, and automatically creates a PR.
generation
AI DevOps Master - Infrastructure as Code
Terraform IaC: Automatically provision AWS VPC, RDS, and ECS infrastructure as code
GitHub Actions CI/CD: Deploy to AWS with a single git push
Po
Sentry + Langfuse Monitoring: Real-time error detection and AI performance analysis
Hands-on: Resolve a production incident with an AI SRE within 10 minutes
Conclusion
Capstone Project - Complete the “Date Ddal-kak” service
AI PM collaboration: Transform ideas into a PRD and automatically generate a Jira backlog
Parallel development: Simultaneously develop the frontend and backend with a sub-agent
development
RAG pipeline: Train AI on real restaurant data using a vector database
Hands-on practice: Launching a real service and developing based on user feedback
Line
My course covers everything developers need to build with AI in the real world.
However, AI technology is advancing at an incredible pace every week and every hour.
There is even an expression that says, "Books about AI are outdated the moment you buy them."
Therefore, we intend to continuously update this course.
We promise to update and revise the latest technologies discovered in the field, keeping them as alive and current as living organisms.
Therefore, as the course is updated, its price may increase.
Now is the best time to take this course at the lowest price!
25/10/28 Weeks 3 and 4 lectures uploaded successfully
25/12/3 1–6 blog GitHub link uploaded
25/12/14 Added subtitles and settings related to 1-7 Claude dispatch.
26/1/12 1-4 seoul_images update
26/1/17 Updated the claude memory feature for 1-3
26/3/18 1-8 hook exit code change update, thanks to Hwang Sunam
26/4/20 Added sections 9, 10, and 11 for Week 1
26/4/30 Added Sections 10 and 11 for Week 2
26/10/8 Added 5 latest AI engineering subtopics to the course materials (Agent view · /goal, skill evaluation, understanding AI-generated code, Agent SDK · Managed Agents, model · cost settings)
Everything in this course is not theory, but a proven workflow recognized for improving team productivity across all workflows at real companies.
We will pass on the practical system exactly as it is used with hundreds of engineers.
This course covers the frontend, backend, and infrastructure.
In other words, the programming language and field don't matter
Whether you are a Python, Spring Boot, Next.js, JavaScript, Java, C#, or even COBOL developer, this course is open to all developers.
AI automation tools are not tied to any specific programming language.
The key is not which language you use, but whether you have the perspective to
identify and automate repetitive tasks.
Everyday development tasks such as creating Git branches, writing commit messages, running tests, and updating Jira tickets
occur in the same way regardless of which language you use.
The field doesn’t matter—web development, app development, desktop development, and so on. If you have experience completing a project from start to finish and have collaborated using Git, you’ll be able to follow the course content with ease.
The total recording time was reduced through editing from 34 hours to 14 hours.
Just because I show you the failures doesn’t mean I included all the trial and error.
I dislike courses where you have to wait along with me while I ask AI to do something and receive its response.
Everything has been cleanly edited, so you’ll never think, "Waiting is a waste of time."
This course includes complete Korean subtitles and has undergone two rounds of review.
I’ve already done the trial and error, so I hope you can quickly gain the insights through the course.
Additionally, everything has been neatly organized in the PDF and Notion materials, so you can also study using the course materials.
GitHub Actions CI/CD Automation Setup
Automated AWS infrastructure setup
Developers with 1+ years of experience who want to lead the adoption of AI tools in the workplace
✔ Tired of repetitive tasks but unsure how to use AI effectively.
✔ Want to revolutionize work efficiency while being recognized on your team as an "AI-savvy developer".
Full-stack developers at startups who need to build MVPs quickly
✔ The burden of handling everything from the frontend and backend to infrastructure alone
✔ The need to maximize development speed by collaborating with AI while also ensuring quality.
Experienced developers considering legacy system improvements
✔ Facing the limitations of existing development processes but lacking a clear direction for adopting AI tools
✔ The entire team's productivity—a goal requiring hands-on experience to boost it
✔ Interested in artificial intelligence (AI) and AI transformation (AX)
Each week requires 2–3 hours of focused hands-on practice, including a process of applying what you learn directly to your own project through assignments.
"You shouldn't assume that it's easy just because AI does everything for you.
Using AI properly actually requires a higher level of design thinking and system understanding.
If you’ve thought it over countless times and still feel stuck, don’t worry.
We will take a look at it with you.
We run a community for vibe coding, Vibe Surfer!
Let’s solve problems together in the community!!
Join KakaoTalk 🔥
Join Discord 🔥
This course is not an encyclopedic course that explains every technology from A to Z.
It focuses on accurately understanding the core concepts needed for problem-solving and
mastering the entire development process of collaborating with AI.
For example, it does not cover every shortcut in Claude or Cursor. However, it covers workflows through MCP servers and improvements to the development pipeline in enough depth for use in actual production.
Taking this course does not automatically mean you will be recognized as an "AI expert" at your company.
However, if you complete the four-week course and apply what you learn to a real project, you will be able to experience a clear competitive advantage within your team through increased development speed and work automation.
There is a special benefit provided exclusively to those who take the course.
The course provides an
actually working full-stack development environment with the claude.md file, MCP setup, and deployment configuration covered in the course.
With a single `docker-compose up` command, Next.js + Spring Boot + the monitoring system starts immediately, and includes
optimized prompts and automated AWS deployment settings.
Stop wasting time on environment setup every time you start a project.
This is a production-ready template that lets you experience an AI-assisted development workflow right away and apply it in real-world projects.
(This problem set will be provided as a Notion page via a link!)
Claim it after verifying your course review in the community!
(I’ve written the verification instructions in the very last lesson __)
Through KakaoTalk Plus Friend
🎟 We will send you a discount coupon 🎟
(15% off, cannot be combined with other discounts)
The inside story of making it to the final interviews at Coupang and Yanolja — a six-year developer’s job-hopping story across 24 companies [ep 5]
Dingcodingco
2021 ~ 2022: S Coding Club Algorithms (data-structure) Tutor
2022 ~ : Runs the coding YouTube channel Ding Coding Co (featuring a variety of content related to developer employment)
2022 ~ 2023: Server developer at Viva Republica
2023 ~: Server developer at a unicorn company
Never give up on a student 🦈
Managing the “Cracking Developer Employment” community and organizing offline meetups
✅ Join the KakaoTalk chat: https://open.kakao.com/o/gPI6kTUg
✅ Join Discord: https://discord.gg/X74q5Yw3Sv
If!! you have even the slightest hesitation before enrolling.
Should I be taking this course right now? If you're wondering, feel free to contact us anytime via the KakaoTalk channel.
😍 I’ll do my best to answer your questions 😍
I primarily use Claude Code. I recommend purchasing a Pro or higher plan.
Windows or Mac—it doesn’t matter! We provide installation instructions for each operating system.
An account setup is required for AWS deployment.
Everything will be shared via Notion and PDF!
Any language is fine! Python, JavaScript, PHP, etc.
Git experience (It's okay if you don't know it. We provide free Git training materials !)
Who is this course right for?
Developers with 1+ years of experience who want to lead the adoption of AI tools in the workplace
A full-stack developer who needs rapid MVP development at a startup
Senior developer considering improvements to a legacy system
A non-major preparing to transition into a developer career
Need to know before starting?
At least 1 year of development experience (any language is fine! Python, Java, JavaScript, PHP, etc.)
Basic Git Usage (I will provide a textbook, so you may also study through it.)
Inflearn Verified
Career Verified
20,671
Learners
2,043
Reviews
365
Answers
4.9
Rating
30
Courses
Park Hyun-jun · Dingcoding Co
POSTECH graduate · Backend development experience at Toss · Inflearn instructor
20,000+ cumulative Inflearn students · 2,000+ course reviews · 4.9 rating
Based on the Inflearn instructor profile, verified on 2026.10.03
Just nine months after starting to create courses, I was featured as one of Inflearn’s top-earning instructors. An Inflearn interview also features the story of a 60-year-old non-developer who completed a website.
We explain everything clearly, from why it is needed to how it is used on actual screens. Starting where beginners typically get stuck, we show you the process of building, clicking through, and fixing things yourself. In this challenge as well, leave the code and illustrations to Codex, and focus on judging the game's rules and results.
Inflearn interview: https://www.inflearn.com/pages/interviewdingco
All
50 lectures ∙ (15hr 26min)
All
126 reviews
4.9
126 reviews
Reviews 27
∙
Average Rating 4.8
5
As a current professional in the field, there are parts that occasionally make me go "huh?" I'm particularly disappointed that the Playwright section feels like just a brief overview. (The content seems too basic for actual use in the industry.) Please continue to provide steady updates in the future. I believe in you!
I fully understand that the Playwright section may have felt lacking to a professional like yourself. We will continue to develop the content to ensure it reflects the depth required in practical field work.
Please don't worry about that gorilla next door, Dingko, and just keep updating with great content at your own pace. Thank you.
Reviews 29
∙
Average Rating 4.7
5
I was waiting for a lecture that would help developers working in the field utilize AI, and the lecture is as good as I expected. Please continue to provide great lectures in the future.
I'm truly glad to meet your expectations, as I know you've been waiting for a lecture where you can apply AI directly to your practical work. Please stay with us until the end, thank you!
Reviews 2
∙
Average Rating 5.0
5
There are many AI-related courses on the market, but most of them are disappointing as they only cover theory or simple chatbot usage. I've heard a lot about "AI can increase development productivity," but I was at a loss about how to start when I came across this course. To cut to the chase, this is a unique course that clearly shows from a practical perspective what an 'AI native developer' is and how to collaborate with AI. Particularly, the 'Mastering Context Management' and 'AI Junior Developer Onboarding' parts in Week 1 were shocking. Beyond simply learning how to write good prompts, I learned how to assign clear roles and rules (constitution) to AI and maximize AI's potential through techniques like 'intelligent context injection,' making me think 'this is real AI utilization.' The instructor generously incorporated know-how from actual field experience, so throughout the course, I felt like a skilled mentor was coaching me directly. I became convinced that reducing 3 days of development to 30 minutes is no longer an empty marketing phrase. Even though I've only completed Week 1, I'm already overflowing with ideas to apply to my work. I'm so excited about the upcoming Week 2 automation, and Weeks 3-4 DevOps and project completion processes. If you're a developer like me who wants to properly utilize AI, or someone who wants to break free from repetitive tasks and focus on more important problems, you absolutely won't regret it. If you want to transform into a developer who achieves overwhelming results, you must take this course! I highly recommend it.
I felt that creating this lecture was worthwhile when you mentioned that the concept of 'assigning roles and constitutions to AI' felt shocking to you. The Week 2 automation section is also filled with content that can be applied directly to your work just as much as Week 1, so please look forward to it.
Reviews 12
∙
Average Rating 5.0
5
While I'm utilizing AI sufficiently at the code level, when it comes to actually using AI to increase productivity from a work perspective, there were many areas where I was lacking. I feel like I'm gaining a lot through this course. Thank you. DingCodingCo, your diction is great and the editing is clean - I listened with satisfaction!
I am truly glad that this was helpful in ways that extend beyond the code level to actual work productivity. Thank you for your kind words regarding the diction and editing, and I hope you find the remaining lectures just as informative!
Reviews 16
∙
Average Rating 4.9
5
I am taking this course while rethinking my previously casual approach to AI utilization. Before, I simply hoped that using AI would be helpful for my work, but now I am studying diligently with the mindset of laying the foundation to become an AI expert. I am looking forward to seeing how I will have changed after completing this course.
Thank you for approaching this lecture with the mindset of building a foundation as an AI expert rather than just simple utilization, which I believe made the session even more meaningful. I am also looking forward to seeing how you will transform after this lecture.
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