Automating AI-generated YouTube Shorts with one click (with n8n)

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

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

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

6-Hour Complete All-in-One Course → Contains only essential services for immediate workplace application Practical AI Utilization Expert Program → Step-by-step learning from registration to advanced usage Carefully Selected Essential Workplace AI → Learn only the core essentials instead of 100 unused courses Monthly Latest Updates Provided → Never miss the changing AI trends Perfect Integration with Books → Lifelong AI learning possible without textbooks Latest AI Service List Provided (Notion) → Continuous expansion possible even after learning

n8n, the open-source AI automation tool chosen by global companies. Start your Agentic Workflow for free, without any coding!

This is a Vibe Coding lecture where you can create a real-world web service using public data and Google AI Studio (free), even with no prior coding experience. We will build a complete service in Korean—including search functions, map integration, and AI analysis reports—using the Public Facility Safety Information API. You will learn the entire development process, from PRD planning to deployment, which can be applied immediately in practice.

This course teaches you how to build powerful AI agents and automation systems using n8n and leading AI tools without any coding. It is designed for beginners, professionals, entrepreneurs, and business owners who want to stay ahead in the rapidly growing field of AI automation. You will learn how to create AI agents, automated workflows, AI voice agents, email managers, research assistants, social media systems, and business automation tools. The course covers major technologies such as OpenAI (ChatGPT), Claude, Gemini, DeepSeek, Pinecone, Supabase, Retell AI, and ElevenLabs. It also explains core concepts like APIs, webhooks, RAG (Retrieval-Augmented Generation), vector databases, and multi-agent systems. In addition to step-by-step lessons, you will receive over 90 pre-built n8n AI agent templates that you can customize, reuse, or sell as a service. Advanced projects include AI voice booking agents, WhatsApp AI assistants, automated lead generation systems, resume analyzers, invoice processors, and viral content generation systems. Furthermore, a dedicated 30-day roadmap for establishing your own AI automation agency is provided to help you monetize the skills you acquire. Overall, this course is a complete and practical guide to mastering AI agents and automation. Whether your goal is to automate your business, start an agency, increase productivity, or future-proof your career, this course has you covered.

How to create content 100 times faster without working overtime! AI practical strategies to complete everything from planning to copy and visuals with a single line of prompt

By simply entering a US company ticker, this system automatically collects financial accounting data, competitor analysis, recent news, and stock price information to generate professional investment reports through in-depth analysis using the OpenAI GPT API. The final results are automatically uploaded to Notion. By learning the basic concepts and terminology of financial accounting, even engineers can utilize this for competitor benchmarking, persuading supervisors, and planning new solutions. You will build a high-performance API server using Python and FastAPI, learning asynchronous programming, AI integration, and practical fintech skills. We support beginners so they can easily follow along, complete a system applicable to real-world investment and business, and grow into developers tailored for the AI era.

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

This session is prepared for those who already have some understanding of or experience with automation or n8n. It covers the real-world problems and solutions Selfish Club encountered while building DB and CRM automation using n8n, so we highly recommend it to anyone considering implementing n8n automation but unsure of how to start.

We will teach you all the know-how for YouTube Shorts automation. Stop using expensive external services! Let's create AI videos cost-effectively using open source and libraries!

What if AI could directly open a browser and write shell scripts to resolve server issues? Through practical automation know-how implemented with OpenClaw across Windows and Linux, we guide you on the shortest path to completing your own powerful remote development environment without complex configurations.

You can build the basic stamina to leave work on time by automating report writing.

Have you felt overwhelmed, not knowing where to start with AI automation? This course explains AI automation using Google Opal in a way that even non-majors can easily understand. Rather than difficult theories, we focus on practical automation examples to show you how to reduce repetitive tasks and increase productivity. This course is for those who want to turn AI from a "technology you've only heard about" into a "tool you use yourself."

Let's begin developing with Copilot (copilot). With AI, even elementary school students can follow along!

This is a practical introductory course designed to help general office workers utilize generative AI as a business partner rather than just a simple tool. The objective is to develop the ability to use AI safely while complying with security and copyright standards, based on an accurate understanding of its operating principles and limitations. From the core principles of prompt engineering to streamlining text-based tasks such as planning, reporting, emailing, and minutes-taking, as well as Excel data analysis and the use of images and PDF documents, students will learn step-by-step. This helps drastically reduce time spent on repetitive tasks and secures the practical capability to handle multiple roles. Beyond individual use, the course covers how to build team-level work templates and standards. It is an action-oriented curriculum designed to ensure that participants possess work automation assets that can be applied immediately to their jobs after completion, leading to productivity improvements across the entire organization.

Create ads all by yourself in a snap! Visual creative practice: Complete everything from images to videos and music with AI

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

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

Silicon Valley Internship and 30 Big Tech System Design & Open Source Practical Contribution Completion Course that survives even in the AI era. All students who submit their missions can apply for an internship at a local AI startup in Palo Alto, USA, and will be granted an interview opportunity with a document screening waiver. This course involves designing and scaling 30 practical system designs based on Big Tech cases such as Netflix, Tesla, Meta, and Tinder. Finally, you will design your own service from architecture to DB to scaling, and complete your portfolio and resume by contributing to an actual operational open-source AI coding agent project (which has achieved 8.6K+ cumulative downloads).

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

You can learn how to install Stable Diffusion and use basic extensions, as well as master the fundamental usage of ControlNet. + Jan. 26 Update -> ComfyUI basic installation and application update -> Introduction to AnimateDiff update + Feb. 26 Update -> AnimateDiff upscaling -> Introduction to Frame Interpolation usage -> ComfyUI 8k image and video upscaling method update