Complete AI Agent Development All-in-One (w. LangGraph, Google ADK, CrewAI)

"Multi AI Agent Development" for immediate practical use,
Lead the Software 3.0 era 🤖

Are you satisfied with simply asking questions to ChatGPT? 🤔

Single AI systems like ChatGPT have limitations. Truly effective AI systems in practice are multi-agent systems where multiple expert AIs collaborate.

Now is the era where AI analyzes news, develops investment strategies, and writes blog posts on your behalf. It operates just like a real company where researchers gather information, analysts interpret data, and managers make final decisions.

Imagine this: receiving personalized news briefings every morning, having an AI fund manager automate your stock investments, and SEO-optimized blog posts completing themselves automatically... This is the reality of the Software 3.0 era where multi-agents collaborate.

From work productivity to monetization, we'll teach you everything about
multi-AI agent development that you can apply directly to your work

In this course, you will directly develop 7 advanced AI agents using the latest frameworks proven in practice, including CrewAI, LangGraph, Google ADK, n8n, and more.

In particular, you can learn how to apply the latest AI technologies such as multi-agent orchestration, RAG, and multimodal processing in practice, and master systematic development processes from prompt engineering to TDD methodology.

4 Core Frameworks

7 Practical Agent Projects

🤖 AI Chatbot Agent - ChatGPT Clone Development (Basic Single Agent)

📰 News Briefing Agent - Your Personal News Reporter Every Morning

📈 Stock Investment Automation Agent - My Own AI Fund Manager

📝 Blog Content Agent - SEO Optimization Automated Content Manager

🎧 English Conversation Tutor Agent - Voice and RAG-based Learning System

🎨 Media Studio Agent - Image/Video Generation and Editing

📱 YouTube Shorts Production Agent - Agent & Sub-agent Collaboration, Fully Automated Video Production System

Core Technologies for Building Agent Systems

💡 This is different from lectures that only teach how to use frameworks 💡

It goes beyond simply connecting APIs and following examples. It systematically covers in-depth practical skills needed to grow into a true AI agent developer, including designing collaboration mechanisms between agents, dynamic memory management, and implementing complex workflows.

Features of this course

• Development of 7 Complete Production-Ready AI Agents - Build sophisticated agents from start to finish that can be immediately applied to real work, not just simple demos. From news briefings to investment automation and content generation, each operates as an independent business solution.

• Everything About Multi-Agent Orchestration - Design systems where multiple specialized AIs collaborate rather than a single AI. Implement actual team structures with AI, such as investment bots where researcher-analyst-manager cooperate, and content bots where writer-editor-SEO specialist work as a team.

• Developing a True Personal Assistant-Level AI Agent - AI Agent evolving with Memory & RAG, implementing AI that remembers and learns beyond simply responding. From Firebase-based long-term memory, PDF document learning, to personalized responses - develop a true personal assistant-level AI agent.

• Step-by-step learning design that transforms beginners into experts - First, get a feel for what agents are using the n8n no-code tool, then gradually build full-scale systems with Python. It's okay if you have little coding experience. We'll explain everything step by step, while ensuring the final result is at a level you can actually use in practice.

• Complete Mastery of AI Frameworks - Master key tools used in the field such as CrewAI, Google ADK, and more.

• 90% Hands-on Practice, 10% Theory - Build real-world development experience by writing and testing all code directly.

"In the future, every company's IT department will
serve as the HR department for AI agents"

- Jensen Huang

I recommend this for people like this

After taking the course

• You will be able to freely handle multi-agent architecture design and A2A technology.

  
  

• You will become proficient in handling AI agent frameworks such as CrewAI, Google ADK, LangGraph, etc.

• You will be able to integrate RAG and multimodal AI into complex agent systems

  
  

• You will be able to develop advanced agents that include dynamic memory and state management.

  
  

• 7 Complete AI Agent Portfolios that can be customized to your personal situation and immediately applied to real work.