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AI Agent Development

[Enterprise Challenge] Introduction to AI Agents using Dr. Nam's n8n

For learners who are interested in utilizing AI but find the structure and implementation of agents vague, this course provides a step-by-step guide using the AI agent creation tool n8n—covering everything from core operating principles to building workflows applicable to real-world tasks. Rather than focusing on theory, the course is practice-oriented, aiming to help you acquire the standards and intuition needed to design and expand AI agents yourself by directly implementing automation, connectivity, and decision-making flows.

n8n
AI
prompt engineering
AI Agent
B2B Only Challenge

30개 수업 학습

무제한 복습, 내 것으로 만들어요.

질문하고 즉시 답을 얻어요.

완주 시 쿠폰을 제공해요.

추가 자료를 통해 학습을 이어나가요.

nambaksa님과 함께해요!

Inflearn Verified

Career Verified

9,100

Learners

652

Reviews

1,126

Answers

4.8

Rating

9

Courses

Hello.

I am Dr. Nam, the author of Youngjin.com's "Coding for the First Time with Python."

I mainly specialize in C/C++, Python, and the development of AI-powered automation systems (AI Agents).

To everyone watching my lectures, keep it up until the very end! "Fighting!"


💡Personal Blog: https://blog.naver.com/nkj2001

💡AI Blog: https://blogagent.kr

🎞Youtube: https://www.youtube.com/@blographer/featured

📖Purchase Book: Youngjin.com 『Coding for the First Time with Python』

More

Dr. Nam

Instructor Biography


  • (Current) Working as CTO at Bris and active as a freelance instructor


  • CEO of Soft4U


  • EMK Solution: Development Team Leader (Developed Anti-Adware solution SpyShield)


  • Gigabyte C&C: Served as Development Team Leader


  • Easy Global Networks: Development Team (Developed Anti-Virus solution AVScan)


  • KimLab: Development Team Leader (Daum service, Anti Virus solution PC Jikimi)

Instructor Introduction

Hello. I am Namparksa, an AI practical application expert who delivers skills that can be used immediately in the field.

I started my career as a C/C++ based security program developer for Windows and have accumulated over 20 years of practical development experience, covering everything from low-level system programming such as Win32 API, MFC, COM, and ATL to implementing complex business logic in web programming like ASP, ASP.NET, PHP, Flask, Django, and FastAPI.
Currently, I am focusing on R&D and practical automation centered on Python and AI Agents.

Based on my experience performing planning and development tasks while handling real-world data in the field, I clearly convey AI utilization methods and AI Agent design strategies that are essential for practical application, rather than just staying at a theoretical level. Beyond simple prompt engineering, I focus on an approach that substantially improves productivity by structuring and automating complex business processes.

Additionally, I have proven the effectiveness of my practical-focused lectures on Inflearn, recording over 8,000 cumulative students, 528 total reviews, and a course rating of 4.8. I also consistently share practical knowledge and problem-solving experiences in the fields of programming and AI through various channels, including my personal blog, YouTube, Naver Expert, and Jisik-iN.

Learning Objectives and Target Audience of the Representative Curriculum

💡 Course Objectives
The goal is to understand the basic concepts and operating principles of AI Agents and to acquire the ability to actually design and implement AI Agents using n8n. Through this, you will go beyond simply using tools to establish practical standards for configuring agents that fit your workflow and applying them to automation.

👍Target Audience
Those who understand AI and AI Agents and are interested in practical work and AI production using n8n tools.

5월

26일

챌린지 시작일

2028년 5월 26일 오전 04:00

챌린지 종료일

2028년 8월 30일 오전 08:00

챌린지 커리큘럼

All

30 lectures

챌린지에서 배워요

  • Establishing a conceptual foundation at a level that allows for understanding and explaining the structure and operating principles of AI Agents.

  • Experience in directly designing and implementing simple AI Agent workflows using n8n.

  • The ability to configure workflows that automatically judge and process tasks by connecting external services (APIs, data, LLMs).

  • Establishing criteria for independently designing AI automation scenarios applicable to work tasks

Recommended for
these people

Who is this course right for?

  • Those who are curious about how to utilize AI beyond ChatGPT and Gemini

  • Beginners who are interested in AI Agents but find the structure and implementation methods vague.

  • Practitioners who want to automate repetitive tasks but find writing code burdensome

Need to know before starting?

  • We explain everything from the basics so that you can take the course even if you have no prior experience with n8n.

  • Paid costs may be incurred for using a VPS server and a domain.

  • Experience using AI and automation tools will be helpful for your understanding.

  • Costs for using APIs, such as the ChatGPT API and Gemini API, will be incurred.

Reviews

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FAQs

취소 및 환불 규정
챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

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