AI Automation Agents Without Coding: n8n Hands-on Master Class (9 Practical Examples)

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!

This is a Swift beginner course that you can start without any burden even if you have no programming experience. It doesn't stop at simple basics, but thoroughly covers almost all major concepts of Swift so you can grasp the big picture all at once.

🍏 Apple's own Reactive Programming framework! 🚀 Master Combine and take your iOS development skills to the next level!

Learn by following the Instagram app Practical SwiftUI lecture

SwiftUI lectures that even beginners can listen to! You can start even if you don't know anything.

Learn about the data-related property wrappers that appear early in SwiftUI: @State, @Binding, .constant, ObservableObject, @Published, @ObservedObject, @EnvironmentObject, @Environment

Are you using AI but still unable to get it to do the work for you? This course is not just about simple usage; it is a process of creating your own "high-performing AI assistant." By mastering everything from prompt principles to personalization settings and task automation at once, you can delegate repetitive tasks to AI and create a new way of working that allows you to focus on your core responsibilities.

The goal is to cultivate a full-stack perspective that allows individuals to lead the entire product lifecycle, covering everything from research automation and backend data integration to the deployment of live dynamic websites. We empower those who want to strengthen their competitiveness in the AI era by providing the ability to use these tools as a powerful engine to turn ideas into reality.

LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.

I'm learning how to build practical AI agents using LangGraph while working on various AI agent implementation projects using LangGraph.

Innovation in Work Efficiency and Creativity – Agentic AI AI is now evolving beyond simple automation into a new stage where it can judge and execute on its own. Agentic AI is at the center of this change, serving as a core technology that helps businesses and organizations operate smarter. In this course, we have organized the content clearly and simply so you can understand how Agentic AI connects decision-making with execution and how it can be applied to practical work. Discover the essential knowledge for every professional preparing for the future right now.

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!

If you want to create your own AI service without coding, this course is the perfect solution. Using the Dify no-code platform, you can create high-quality AI apps with just your ideas. Instead of complex theory, it's structured around hands-on projects, allowing both AI beginners and working professionals to develop practical skills.

The start of smart work - work intelligently anywhere, mobile or PC! Go beyond the limits of content creation with the most advanced Google AI tools available today.

Do you still code directly these days? Now is the era where even vibe coding is too much hassle! Become an AI automation expert with n8n without coding. A practical automation workflow design guide you can apply immediately at work Action-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience workplace innovation

We're building an AI-powered video conferencing application with real-time AI agents, meeting summary features, and post-call functionality.

AI agents, the latest trend in generative AI! How to stay ahead with Cursor, which handles all your development tasks, and MCP, which expands its capabilities!

This is a 4-session intensive course designed to transform Claude from a simple conversation tool into a business automation system. You will learn core concepts such as agents, Claude Code, and workflows through practical use cases, gaining the hands-on ability to build end-to-end automation systems in your own field—even without development knowledge. This powerful weapon is most effective in the hands of non-developers who possess tacit knowledge. On the other hand, if you are a developer, it is good to understand why. An AI tsunami is approaching. Do not be swept away; use this as your weapon.

We invite you to the fascinating world of coding where you analyze and visualize financial statements using only prompts. Without a single line of code, you create and deploy a service in consultation with AI.

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."

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.

We explore how to create an AI judge by combining knowledge graphs, reasoning systems, and various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology.

Simple tutorials alone make it difficult to apply in practice. I will clearly pass on my professional know-how, covering complex state management and multi-agent design methods.

This is a practice-oriented course for experienced developers with a computer science background transitioning to the latest AI technology stack. From the design to the implementation of LLM-based applications, you will establish AI solution adoption strategies by leveraging existing software engineering knowledge. Rebuild your career by integrating traditional development experience with modern AI technology.

AI writes on Slack and Notion for me? Work smarter with MCP, which goes beyond the limits of existing AI!

Learn a practical web production workflow that can be applied immediately in the field—from homepages, landing pages, and interactive websites to AI Agent-based CMS—using AI image/video generation tools and Vibe Coding. This course is not just about creating a single screen with AI. It covers the process of generating images and videos using the latest AI tools such as OpenAI Images 2.0, Kling, and Higgsfield, and utilizing them as hero images, background videos, transition videos, and interaction assets for actual websites. Based on Next.js, you will step-by-step implement cinematic landing pages, game-like interactive homepages, inquiry pages, and blog content pages, mastering structures and workflows that professionals can refer to immediately when creating homepages or landing pages. In particular, this course does not stick solely to traditional admin-page-style CMS. You will implement an AI Agent-based CMS structure where AI Agents like Codex and Claude Code organize content and image assets based on predefined skills and upload rules, then upload them to Neon DB and Vercel Blob Store. In other words, instead of an administrator manually entering data into forms one by one, you will experience an operational method where you provide blog topics, reference materials, and image assets, and the AI Agent organizes the content structure and uploads it in a consistent format. Later, this structure can be further enhanced into traditional admin pages, approval workflows, or automation pipelines as needed. Furthermore, it doesn't end with production; we will prepare elements necessary for actual operation, including Vercel deployment, GoDaddy domain connection, SEO meta tags, favicons, OG images, sitemaps, and robots.txt settings. The course also covers the process of registering sites and verifying ownership on Google Search Console, Bing Webmaster Tools, and Naver Search Advisor, as well as setting up Google Analytics and Google Tag Manager to track visitor data. By the end of the course, you will be able to independently reproduce a professional web production workflow that spans AI-driven planning, image/video asset creation, Next.js implementation, SEO optimization, deployment, search engine registration, analytics tool setup, and AI Agent-based content operation.