KakaoTalk Chatbot Development for Beginners

From work productivity to monetization, we'll teach you everything about AI agent development that you can apply directly to real-world tasks. Become an "AI Agent Development Expert" by directly developing 7 agents based on technologies including n8n, CrewAI, LangGraph, Google ADK, multi-agent orchestration, RAG, multimodal, MCP, A2A, and more.

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. We will practice creating a stable operating environment, covering Contabo VPS-based server installation, Ubuntu/Docker/Portainer environment setup, domain connection, and HTTPS security configuration. The course covers Search API and file server development using FastAPI and Docker, Airtable and n8n integration, building blog AI agents, and image/video automation. You will be able to complete a profit-generating automation strategy that can be immediately applied to actual service operations.

With v0, cursor AI, and various LLMs, from PRD to AI product recommendations! Complete your Next.js shopping mall through a practical project.

This course is a practice-oriented program that goes beyond simple chatbots to build multi-agent systems where multiple agents collaborate. 👉 You will learn three frameworks—Swarm, LangGraph, and DeepAgents—step-by-step, completing six practical projects including a customer support chatbot, blog content creation, a PostgreSQL query agent, and an autonomous research agent. 👉 By implementing enterprise-grade features such as long-term memory using Redis and PostgreSQL, Human-in-the-loop security mechanisms, and cost monitoring, you will be able to build production-level systems that can be applied to real-world services immediately after the course.

AI proficiency determines your salary. Leave the tedious, repetitive tasks you do every day to AI. 'Almost Everything About Work Automation' teaches you how to create an automation system that handles your work on its own with just a few clicks, even without any coding knowledge. You will be freed from boring paperwork and data organization, and transform into an 'AI-savvy professional' who stays ahead of others.

[Let's Build!] Have you ever given up because you were tired of connecting nodes? "Create a daily morning briefing on Slack" — that's all it takes. Claude Code designs it, and the n8n server runs it 24/7 for you. [Let's Operate!] If adopting n8n was easy but managing it felt overwhelming, this lecture is the answer. "Organize everything according to the conventions" — dozens of workflows are tidied up at once. Creation, organization, monitoring, and backup—operate everything using natural language.

It's okay if you don't know a single line of code. We are now in the era of 'Vibe Coding,' where you develop by 'conversing' with AI.

Now your imagination becomes the best game design document! With AI, you can complete your first game by having fun conversations as if assembling LEGO blocks. Try using Google Gemini Pro for free!

A course to truly make you a hands-on game developer. Push your limits with 4 hands-on projects and 3 AI-specialized games!

This course starts with signing up for a Notion membership, teaches the basic concepts needed to use Notion, and creates three Notion templates (dashboard, to-do list, portfolio) that beginners need most, and makes you fall in love with the charm of Notion.

Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

We will summarize the theoretical concepts of MNIST, the most fundamental dataset in computer vision, and learn how to implement it using Torchvision's API as well as how to implement a custom dataset class directly.

"A hands-on web development project course that covers everything from planning and design to implementation and deployment using Generative AI." We will complete the entire process together step-by-step—starting from idea conception, quickly creating designs with AI, implementing a functional website with React, and finally deploying it to the internet. Latest AI tools like Stitch and Figma Make will assist with your design work, and even complex coding will be taught in a way that is easy to follow step-by-step.

Are you still coding alone? We are now in an era where AI handles 99% of the work. Instead of memorizing complex syntax, this course teaches you how to turn Google's powerful AI, 'Gemini Pro,' into your 24-hour AI development partner. You will learn the fundamental principles of Flutter using the paid Gemini Pro model for free and turn your ideas into reality through professional-level projects.

"Are you still studying with coding books?" A course, rated 5.0/5.0 by MBA and business undergrads at a London management university. You can take AI data analysis lectures from home. Even for humanities-background non-majors: practical data analysis skills immediately usable in the field, plus a data analysis portfolio for job search completion. I am a British Professor (British Professor) teaching data analysis and project classes with ChatGPT, no coding knowledge required.

Through this course, students will master the core functions of NotebookLM step-by-step and learn how to delegate repetitive office tasks—such as report writing, meeting minute summaries, and data analysis—to an AI assistant. Moving beyond simple conceptual learning, the course provides actual work routines and checklists, equipping students with practical skills that can be applied to their jobs immediately after completion.

: "From environment setup to 7 practical projects, a deep learning full-stack journey across data domains (35 lectures in total)" Go beyond simply following example code and learn how to cook various types of real-world data using deep learning. Starting from building CPU/GPU development environments, you will cover waste sorting classification (Image), stock price prediction (Time-series), ECG anomaly detection (AE), animation stylization (GAN), medical image segmentation (U-Net), and sound classification (Audio)! Systematically master core deep learning algorithms through hands-on projects.

This course conducts hands-on practice related to Diffusion models among generative artificial intelligence models. By reading and implementing the prompt-to-prompt paper, which is a representative Diffusion model application paper, we expect to cultivate the ability to understand the latest artificial intelligence papers.

Evolve Obsidian from a simple notepad into a personal knowledge database and build an AI assistant that understands your notes and documents using Claude Code. Create custom workflows to automate repetitive tasks and complete a knowledge system where daily work and learning compound and transform into your own unique expertise.

If you follow OpenClaw Parts 1 and 2, you eventually end up making a single agent do everything. As you do this, there comes a moment when prompts get tangled, memory gets mixed up, folders get messy, and you feel stuck, not knowing how to organize things anymore. This lecture is the "Introduction to Multi-Agents (Part 2.5)," designed to help you move one step further from that point. While maintaining a single bot, we will separate roles into two agents—planner and editor—and connect each agent to different workspaces and Telegram forum topics. You will personally build a structure where "different agents respond depending on which room you speak in." By following the hands-on practice, you will have the following in your environment: - A configuration file defining two agents: `content_planner` and `content_editor`, - A content folder structure where planning and drafting are separated, - A Telegram group chat where different agents are attached to specific forum topics, - And one actual draft of an Inflearn course introduction created through the collaboration of the two agents. In short, this is a practical class that helps you design the first step of upgrading your Telegram bot from a "single AI assistant" into a "small AI team with divided roles."