A Practical Guide to Using Claude Code for Non-Developers

If you’ve tried AI but get different results every time, or you’re not sure whether it’s okay to put company materials into it, this course has the answer. Using a five-step process (Choose · Input · Instruct · Verify · Preserve) refined through AI training for employees at more than 20 large companies, you’ll practice safely delegating repetitive tasks to Claude Code and verifying the results against the originals.

The online course “AI Teammates Do It All” is a hands-on program that teaches you how to use AI not merely as an automation tool, but as an “AI teammate” that works alongside you on practical tasks. The course is structured around common real-world workflows, including market research, proposal writing, strategy report creation, brand content visualization, project promotion and operations, and follow-up management. Participants assign various AI tools—including ChatGPT, Perplexity, Copilot, Canva, Gamma, MiriCanvas, and Vrew—as planning partners, strategic research partners, design partners, and operations support partners, and complete actual work deliverables with them. Across 30 sessions, you will learn step by step, from the basic mindset for working with AI to practical prompt writing, market research, proposal and report writing, brand content creation, and project operations. By following the course, you can develop the AI collaboration skills to work on your own like an entire team.

A practical introductory course on Claude Code for Unity developers! From installing Claude Code to Unity MCP integration, managing project conventions using CLAUDE.md, custom slash commands, and collaboration workflows—we will teach you everything you need to know for real-world application. Finally, you will gain hands-on experience effectively applying Claude Code to a Unity project by building a Survivor-style game from scratch.

AI solutions that maximize innovation and performance! Your business will leap to a new dimension.

Even people who know nothing about coding will be able to give AI commands in Korean and create their own automated stock trading program!

"AI Team Members Do It All" is a hands-on online course where you learn to use AI not just as a simple automation tool, but as 'AI team members' who work alongside you in real tasks. This course is structured around common work flows in practice, including market research, proposal writing, strategy report creation, brand content visualization, project promotion and operations, and follow-up management. Students will complete actual work deliverables by deploying various AI tools such as ChatGPT, Perplexity, Copilot, Canva, Gamma, Miricanvas, and Bru as planning partners, strategic research partners, design partners, and operational support partners respectively. Over 30 sessions, you'll learn step-by-step from basic perspectives on working with AI to practical prompt writing, market research, proposal and report writing, brand content creation, and project operations. By following the course, you can develop AI collaboration capabilities that enable you to work like an entire team on your own.

The limitations of LLMs? I’ll share practical solutions to real-world problems based on RAG trial and error and operational know-how from working in Silicon Valley.

Core Principles of n8n Automation and Workflow Design Basics for Non-Majors 5-Step Automation Built with n8n: API Connection Practice from Topic Input to Video Completion How to Automatically Create Videos in n8n Using AI APIs (ChatGPT, ElevenLabs, Creatomate)

If you’ve found it difficult to explain what’s happening under the hood while using AI and embeddings, this course may be the answer. Drawing on the experience of a practicing AI developer in Silicon Valley, it helps you understand the principles of AI through code by implementing everything from embeddings and Word2Vec to automatic differentiation and transformers yourself.

You may have experienced Claude Code producing different results for the same request each time, violating the rules specified in its instructions, and being overly lenient in approving its own output. While developing platform servers in Pangyo and spending over $1,000 a month on Claude Code, I addressed these issues by building a harness consisting of instructions, Hooks, permissions, and a Sandbox instead of relying on prompts. In this course, you’ll build that harness from scratch, add Subagents, Agent Teams, and headless execution, and leave with a complete setup that you can copy and use as-is in other projects.

Create a wide range of design deliverables using ChatGPT Images 2.0, including logos, product photos, mockups, banners, wedding snapshots, wedding invitations, POP displays, menus, and product detail pages. This hands-on course teaches you how to write prompts to achieve the desired results and how to structure reusable templates.

This is a practical course that uses Codex to connect business planning, website creation, marketing materials, task organization, and email automation. Even if you are not a developer, you will learn how to delegate tasks to AI and refine the results using Notion, Linear, Figma, and Google Workspace in an actual workflow sequence.

Understand Transformer-based LLM architectures and GPU utilization strategies, and get hands-on experience with the actual serving process using vLLM. This course covers the entire practical workflow, from building AI system pipelines to monitoring and utilizing multiple GPUs, and is designed to help you understand everything intuitively through diagrams and hands-on exercises—without complex formulas.

You don’t need to know how to code. Organize your idea into a proposal, menu structure, and screen design with Plandy, then hand that planning kit over to Claude Code (web) to build a local Pilates booking app. Follow the entire process from start to finish, including creating member accounts, Kakao login, bookings and cancellations, membership session counts, an admin interface, and publishing it at a real address.

If you only know LangChain, it's just a chatbot; but if you know LangGraph and Multi-Agent patterns, it becomes a service. An active AI instructor will share the know-how to build operational AI Agent workflows from start to finish—going beyond simple prompt calls to handling tools, maintaining memory, and incorporating human-in-the-loop verification—using 17 practice notebooks and 4 multi-agent patterns (Subagents, Handoffs, Router, and Skills).

We will teach you about AI, especially Generative AI like ChatGPT, by learning about it from various angles and showing you how to use AI tools that can be applied in practice. It consists of content such as marketing planning utilizing Generative AI, and an introduction to and utilization of Generative AI tools helpful for marketing content development (ChatGPT, image Generative AI).

You don’t need to know how to code. Once you learn how to “give the right instructions” to AI tools like Claude and Codex, you can create everything yourself—from cinematic websites and motion-graphics promotional videos to AI short dramas, ads, and even podcasts made with your own voice. You’ll receive more than 20 ready-to-use kits containing projects that are actually being created and used, and we’ll show you the entire process exactly as it appears on screen: handing the folder over to AI and converting it to your brand → fixing only the parts you want with a single screenshot → completing Vercel deployment and domain connection. Recorded in October 2026 using the latest AI tools (Claude Opus 5.5 · GPT-6.1 · Grok Build), this course focuses on workflows that continue to work even when the models change.

From PC control to high-level research and app development A guide to building your own 'AI Work Assistant' ready for immediate real-world deployment

From AWS EC2 backend operations to automatic error fixing, we are revealing the entire development process of Sidabari (https://github.com/cx8537/sidabari), a Claude Code-based automation tool. In this course, we provide all the actual prompts and conversation history used as learning materials, allowing you to experience the entire prompt input process involved in its creation.

Can you make a proposal look convincing with AI, but lack the confidence to bring it into the meeting room? A global content strategist with 17 years of experience—who built practical planning expertise at major advertising agencies and global e-commerce companies, and had that expertise validated on a global education platform—will teach you the principles of planning that work in practice and AI workflows, from defining the problem to completing the slides.