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AI Agent Development

All Knowledge for AI Agent Development [Early Bird]

Stop copy-pasting code! 🙅‍♂️ This is a "real" conceptual lecture that dives deep into everything from how agents work to their architecture and design philosophy. Beyond just learning how to build them, I will help you develop an eye for designing entire systems. Build a solid foundation here that remains unshakable amidst the technology trends of 2026! 🧠✨

6 learners are taking this course

Level Beginner

Course period Unlimited

  • haeyeomiso
prompt engineering
prompt engineering
LLM
LLM
LangChain
LangChain
RAG
RAG
AI Agent
AI Agent
prompt engineering
prompt engineering
LLM
LLM
LangChain
LangChain
RAG
RAG
AI Agent
AI Agent

What you will gain after the course

  • 'Architecture Insight' that pierces through the system! Beyond simply implementing functions, you can perfectly understand and design the 8 core layers of an agent (brain, memory, tools, safety, etc.).

  • The 'design capability' to control probability! Learn how to confine unpredictable LLMs within State Machines and Graphs to make them operate exactly as you intend.

  • A 'preview' of 2026 technical standards! You can master the latest technology trends and standards, such as MCP, GraphRAG, and Agentic Workflow—the hottest topics right now—and stay one step ahead of others.

  • 'Operational know-how' that goes beyond a demo! It's not just about building it and being done. Gain production-level operational knowledge on how to evaluate (Eval), trace (Tracing), and solve problems.

🚀 Course Introduction: Time to graduate from being a prompt-crafting artisan!

Are you still begging a chatbot (LLM) with "please do this" using only prompt engineering? 🙏 Now it's time to build an 'AI Agent' that plans, uses tools, and gets the job done on its own.

Stop copy-pasting code! 🙅‍♂️ This course is about 'Engineering' to control LLMs—which are often a game of probability—exactly how you want, and 'Design' to get ahead of the 2026 trends like MCP, GraphRAG, Agentic Workflow, and LangChain.

Take all the real technology hidden behind the flashy demos right here!


✨ Key Highlights of This Course

  • 🧱 8-Layer Anatomy: We pass on the 8-step secret to creating a robust system, from the agent's 'brain' to its 'operations.'

  • ⚙️ Taming AI: Dealing with unpredictable AI? I'll show you exactly how to keep it under control and make it follow instructions using Finite State Machines (FSM) and graph technology.

  • 🔮 Stay Ahead: Get a head start on the MCP and GraphRAG concepts that are trending right now!

🎧 "Crystal clear even at 2x speed!"
For busy developers 🏃‍♂️ we used AI voice enhancement so the pronunciation stays perfectly clear without any distortion, even at double speed. Because your time is precious :)

Recommended for these people

Backend/Full-stack developers who have reached their limits

👨‍💻 "AI keeps getting stupid when I give it complex tasks..." 👉 Graduate from simple integration! I'll show you how to build a 'persistent agent' that fixes its own errors and gets the job done no matter what.



AI engineers who want more than just RAG

🤖 "Aren't you bored of chatbots that just search documents and give answers all day?" 👉 Go beyond search (RAG) and level up to 'Multi-Agents' that use tools at will and collaborate with other AIs!



Tech PMs who need to lead technology trends

📅 "I wonder if it's actually impossible or if we just lack the technology." 👉 I'll pinpoint AI's real limitations and the standard technologies for 2026. Now you can plan projects while engaging in fact-based discussions with developers.

💡 What will you gain after listening?

  • 🤷‍♂️ Instead of saying "There's nothing we can do because it's AI," you can coolly respond, "Let's solve it with caching and guardrails."

  • 🏗️ You can quickly build a Cyclic architecture yourself using the currently popular LangGraph.

  • 🛠️ Not just a toy project, you will be building a solid service that is actually ready to be sold to paying customers.

📚 What you will learn (4 core points)

Treating AI like a component (Brain & Action)

Don't put LLMs on a pedestal. They're just components! Master the infinite loop of Think → Act → Observe and how to use the tools.


Planting a Smart Memory (Context & Memory)

Search once and done? No way. We will build a persistent RAG that re-searches until it finds the answer, along with a 'memory system' that remembers the user.


The Magic of Controlling Probability (Control Flow)

How to trap unpredictable AI within if-else statements and state machines! You will even learn multi-agent collaboration patterns that tackle complex problems with ease.

Unbreakable Shield and Operations (Ops & Security)

From preventing hacking (prompt injection) to automated evaluation systems where AI grades AI, and even error tracking! Let's preemptively block the problems that explode in real-world practice.

Notes before taking the course

Learning Materials

  • It will be provided via a Notion link!

Prerequisites and Important Notes

  • Python Basics: If you can look at code and understand the general flow, you're good to go!

  • Web Basics: You just need to know things like "what an API is" and "what JSON looks like."

  • Curiosity: The passion you felt when using ChatGPT and thinking, "I want to try automating something with this!" is more than enough. 🔥

Recommended for
these people

Who is this course right for?

  • "I'm tired of just connecting APIs" 👉 For backend/full-stack developers who want to go beyond simple integration and design robust, complex systems themselves.

  • "I need the next step after RAG" 👉 For AI engineers who want to go beyond simple chatbots and create 'real agents' that handle complex tasks on their own.

  • "I want to know the technical boundaries" 👉 Tech PMs who want to plan feasible services by identifying the clear limitations and possibilities of AI.

Need to know before starting?

  • Python Basics

  • Basic web knowledge: It is helpful to know what an API is and what JSON data looks like.

  • LLM Experience: As long as you have experience chatting with models like ChatGPT or Claude and have the curiosity to think, "I want to automate something with this," that's all you need!

Hello
This is

Nice to meet you!

I am Haeyeo, someone who explores the infinite possibilities of AI and computer science and wishes to share that journey with all of you.

During my undergraduate years, my passion for my major was so intense that I was nicknamed a 'Computer Science Addict.' I graduated at the top of my class with a major GPA of over 4.4. I then earned my Master's degree in AI from Seoul National University and further deepened my expertise through a doctoral program.

However, as I felt as much of a fascination for solving real-world problems with AI as I did for theoretical exploration, I took a break from my doctoral studies to gain valuable hands-on experience by working on AI-based LLM and video analysis projects at a startup.

Currently, I am working as an LLM project developer and PM at one of the top three conglomerates in Korea, contributing to creating positive changes that AI technology will bring to our lives. I will generously share with you the challenges I faced, the problem-solving processes I went through, and the vivid know-how I gained in the field. I will be your reliable guide on this journey into the exciting world of AI.

Inquiries and Proposals: haeyeo.open@gmail.com

Curriculum

All

10 lectures ∙ (2hr 54min)

Published: 
Last updated: 

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