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AI Agent Development

Work Automation AI Agent Ready for Immediate Use in Companies (w. n8n, LangGraph)

Artificial Intelligence, AI, agents... They might seem grand, but once you try them, they're not as difficult as you think. That's why it's important to implement simple features yourself. Through practical projects that can actually be used at a company, you'll directly experience various use cases and learn how to utilize and apply AI agents.

(4.9) 58 reviews

5,257 learners

  • jasonkang
n8n
AI
LangChain
Generative AI
LangGraph

Reviews from Early Learners

What you will learn!

  • Raising an obedient(?) and complaint-free junior

  • Ah... training junior staff for thankless jobs.

  • Learn AI Use Cases Ready for Company Use

오뜨 띠배너 (1)

Curious about how companies that work well these days
use AI?

For those who found AI adoption overwhelming, we've prepared 5 automation cases verified in actual work environments. Meet the smart AI agents in our course that will boost your productivity and protect your work-life balance!

If you're having these concerns, I recommend it!

Our company is also telling us to try using AI... How do I get started with AI?

Isn't there a truly practical AI that helps with real work instead of ChatGPT?

How do other companies use it that makes AI so efficient?

Create your own AI assistant for immediate work use
with n8n and LangGraph

6 Use Cases Proven in Large Enterprise Practice

Leading enterprise AI projects and directly validating the cases, we've selected only 6 use cases that actually delivered results. These aren't simple examples, but workflows currently being utilized in real organizations.

Powerfully with the latest tool combination of n8n and LangGraph

You can create flexible AI agents by combining n8n and LangGraph. Repetitive tasks can be easily automated through n8n, while more complex flows or external system integrations add design depth with LangGraph.

True automation is customizing it to fit my work

It's difficult to create automation that fits my work by just following predefined use cases. This course allows you to break down tasks, implement them progressively, and learn the thought process of designing AI automation that suits your specific work tasks.

n8n and LangGraph Meet
Smarter AI Agents

The hottest no-code tools for work automation these days

✅ (No-code) Automation design with just drag and drop
✅ (Scalability) Integration with various apps and AI services
✅ (Flexibility) Support for complex flows including conditional branching and loops
✅ (Security) Safe data processing through self-hosting

Essential Tools for Smarter Agents

✅ (Advanced) Automation design possible even when difficult with n8n alone
✅ (Visualization) Grasp AI agent flow at a glance
✅ (Precision) Flexibly control response methods according to situations
✅ (Scalability) Freely integrate with various tools and APIs

I recommend this for people like this

3 employees need to do the work of 10. Daily competitor news checks, customer inquiry responses, work report writing... If you're doing all of this manually?
For
small team leaders who want to save time with AI automation

I want to solve it myself without help from the development team.
Do you feel awkward asking "Could you please extract this data for me"? For
non-technical roles who want to analyze data using natural language without knowing SQL and automate news monitoring

I want to focus only on development.
Coding is fun, but repetitive task handling, client communication, and project management are bothersome, right? For
solo entrepreneurs who want to automate tedious tasks with AI Agents and focus on core development work

🚀 After taking the course, you can discover this version of yourself

  • Person suggesting AI automation ideas in team meetings

  • A person who delegates repetitive tasks to AI and focuses on creative work

  • A person who thinks of automation solutions when they see problems

6 Use Cases for Building
Practical AI Agents

Help me write an email.

n8nstreamlit
This is an email assistant agent that reads emails on your behalf, determines if a reply is needed, and even writes drafts that fit the context. You can build workflows with n8n and create a beautiful UI for the email bot using Streamlit.

You can automatically receive articles from our company.

[[CODE_1]]n8n[[/CODE_1]][[CODE_2]]spreadsheet[[/CODE_2]][[CODE_3]]notion[[/CODE_3]]

You can collect articles related to our company, run sentiment analysis on them, and then organize them in Google Sheets or Notion, or receive them directly via email. All of this can be easily created with n8n.

It saves time searching internal documents.

n8nLangGraph
Ask what's in your company documents and AI will find it for you! You can create an internal QnA chatbot using n8n. Also, create an agent using LangGraph for more sophisticated responses.

Data analysis is possible even without knowing SQL.

[[CODE_1]]n8n[[/CODE_1]][[CODE_2]]supabase[[/CODE_2]][[BR]]일상 언어로 질문하면 자동으로 SQL 쿼리를 생성하고 슬랙으로 답변을 받을 수 있는 에이전트를 만들어봅니다. 더 이상 개발팀에 데이터 요청하지 마세요.

AI Code Reviewer That Saves Developers' Time

LangGraphn8nMCP

Code quality checks, security issue reviews, and improvement suggestions all automated! Experience how your development team's productivity doubles!

Agent that summarizes YouTube and videos

LangGraphMCP

Do you want to share recorded internal training materials or great videos you've found on YouTube with your team members? While external solutions exist, are you concerned about internal materials being leaked? With LangGraph, you can implement this simply with less than 100 lines of Python code. We'll also show you how to modularize the nodes used in LangGraph so you can easily reuse them when similar functionality is needed.

Pre-enrollment Reference Information

Practice Environment

  • n8n runs using Docker, so you can follow along regardless of your operating system.

  • You can also follow along with LangGraph if you have Python installed.


Learning Materials

  • I provide Notion links and GitHub source code

  • The workflow created with n8n is included in the course materials.

Prerequisites and Important Notes

  • n8n requires no prior knowledge

    • Since it's GUI-based and you can create workflows through drag and drop, it shouldn't be too difficult even without development knowledge.

  • LangGraph requires Python experience.

Recommended for
these people

Who is this course right for?

  • Person getting pressed by boss for AI adoption.

  • People wanting to know how other companies use AI

  • "Is this really that amazing?" For those who are curious

  • For those who want to apply AI in their work but don't know where to start.

Need to know before starting?

  • Python(Req.)

  • LangChain(optional)

Hello
This is

13,093

Learners

780

Reviews

409

Answers

4.9

Rating

9

Courses

Curriculum

All

30 lectures ∙ (5hr 56min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

58 reviews

4.9

58 reviews

  • jinsyu8118님의 프로필 이미지
    jinsyu8118

    Reviews 1

    Average Rating 5.0

    5

    89% enrolled

    急いで入ってきたRAGプロジェクトでPOCを作らなければならないのに、適当な講義がないか探してみたところ、お試し講義を聞いてすぐロードマップを決済し、概念を把握するために実習なしで素早く1回読み?しました。 クラウドコードを使うようになってから、一人で何でも作れるという思いが湧きましたが、今は本当に何でも作れそうです。 プロジェクト受注費用が(POCさえうまく作ればプロジェクト受注が確実な状態)講師のロードマップの数百倍なのに、このようなコスパがどこにあるか分からないですね。 私が感じた講義の長所を残します。 1. 発音が明確で伝達力が良いです。 2. ミスなく完璧な講義ではなく、ミス・誤字などの過程が含まれていて現実的です。 3. リファレンス文書を言及してくださいます。(論文含む) 4. 実務で使わなければ分からない様々なコツを紹介してくださいます。(pdf解析時の改行・プロンプト作成・表、図処理...) 5. 英語の発音がおかしくありません?(かなり多くの講師が基本的な英語単語の発音をとんでもなく発音されて気になる場合が多かったのに、そのような場合がありませんでした) 6. 重要な概念を数十回繰り返してくださいます。いつかは理解できます。LangGraphの最初の講義を聞いてedge/node/stateに言及される時、これは何の話かと思いましたが、本当に同じ過程を数百回は作られるのを見ているだけで理解がある程度できたようです。 私は元々受講評価をあまり残さないのですが、langchain/langgraph/ragを学ばれる方には積極的に推薦いたします。

    • jasonkang
      Instructor

      良いフィードバックありがとうございます! いただいた受講レビューは、私よりも講義の意図をより的確に表現してくださっているようです。 エラーが出た部分も意図的に編集せず残したのですが、ご不便だったかもしれませんが、好意的に見てくださり感謝いたします。 意図がよく伝わったようです。 POCをうまく作成されて、良い結果が出ますよう願っております。 今後も応援しています!

  • sumin220님의 프로필 이미지
    sumin220

    Reviews 4

    Average Rating 5.0

    5

    30% enrolled

    学部時代に学んだ人工知能に関する浅い知識が実務にどのように応用できるのかを直接確認する過程自体がとても興味深かったです。 特に、講義を通じて多くのアイデアを得ることができ、すぐに適用してみようと思いました。最近のハッカソンで40チームにそれぞれ異なるランダムなテーマを生成しなければならない作業がありましたが、一つ一つ手作業で行っていたら長時間かかったであろうこの作業を、AIエージェントのおかげでわずか20分で終えることができました。その時は本当にスリリングでした。 また、講義中に発生するエラー状況で、ビョンジンさんが問題を解決する過程をそのまま見せてくださった点がとても良かったです。単純に正解だけを教えるのではなく、問題を分析し解決策を見つけていく過程を見守りながら、大きなインサイトを得ることができました。 自動化から得られる本当に大きな利点を身をもって体験していくようです!

    • jasonkang
      Instructor

      講義の前半部分だけ受講されてもすぐにエージェントを適用するアイデアが浮かばれたということは、普段からも業務効率化・自動化のために多くの悩みを抱えていらっしゃるようですね。 講義紹介でもお話ししましたように、最初は少し難しく見えても一度やってみると「あ、大したことないな」と感じられるでしょう。そのため、おそらくスミンさんの日常業務にも今後AIがますます自然に浸透していくと思います。 今後もスミンさんのアイデアとスピードでより多くの自動化を作り上げていかれることを応援いたします!🚀

  • brbr님의 프로필 이미지
    brbr

    Reviews 3

    Average Rating 5.0

    5

    33% enrolled

    スピード感のある進行と(1.2倍速で見てはいますが) 仕事をしながら先輩が要点だけを教えてくれるようなこの感じ! 楽しくて良いです!

    • y2kkorean님의 프로필 이미지
      y2kkorean

      Reviews 4

      Average Rating 5.0

      5

      33% enrolled

      • wjdqudwn님의 프로필 이미지
        wjdqudwn

        Reviews 143

        Average Rating 5.0

        5

        14% enrolled

        $61.60

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