[Free Special Lecture] When AI Lies, “I’m Done” — Practical Claude Code Harness Engineering in 10 Minutes

Build your own virtual office where multiple AI employees work across content, data, and finance departments—with self-hosted AI agent Hermes and OpenAI Codex—instead of just one AI assistant delivering your morning briefing. 74 units to complete, with unlimited access!

No development knowledge needed! Create your own automation system in just a few clicks.

Based on the LLM Wiki architecture proposed by Andrej Karpathy, we are freely releasing a practical pipeline and MIT open-source starter kit that automatically compiles five scattered Markdown notes (8,615 characters) into nine wiki documents (23,659 characters) and a knowledge graph with 44 bidirectional [[wikilinks]] in just 1 minute and 42 seconds.

Which AI tool should I learn first? Stop worrying now! - Rated 4.8 by 80 students ⭐️⭐️⭐️⭐️⭐️ - ChatGPT, Claude, Gemini, Genspark, NotebookLM, Gamma, Skywork, Manus, Antigravity, Claude Code, MiriCanvas, Opal, CapCut, and more - Learn the core features of over 15 tools very easily over 20 days. - Through weekly assignments, we provide a course you can "internalize" rather than just "passively listen to." - All-in-one coverage: Prompt Engineering > Image Generation > PPT & Video Creation > Vibe Coding - 4 hours of lecture videos + weekly study materials + assignment certification system

Still think M365 Copilot is just a ‘helpful tool’? Now is the ‘era of directly building’ M365 Copilot. “Have you tried Microsoft 365 Copilot?” Meeting summaries, document creation, email organization… While convenient, can we truly say AI is genuinely ‘working on your behalf’ with just this? If people still have to design processes, move files, and push buttons, AI is still just an assistant. How to move beyond being an M365 Copilot user and become someone who ‘directly builds’ M365 Copilot. We’ll show you how to design and deploy your own ‘actionable Copilot’ by combining the powerful features of Copilot Studio and Azure AI (such as AI Foundry, AI Search, Speech, Custom Models).

This course is not about collecting a large number of prompts. It is about learning an AI directing framework that can be applied immediately to any role or task. Even if you download prompts for specific tasks, in practice you still need to find the prompt you need, adapt it to your situation, and spend time revising the output. Through the M·A·G·I·C prompt framework, you will learn how to design the purpose, context, examples, completion criteria, and review criteria all at once. From reports, proposals, and marketing execution plans to meeting summaries, work emails, and repetitive task automation, you can connect everything with a single framework, reduce unnecessary revision conversations with AI, and build practical AI skills that will change the speed of your work starting tomorrow.

Don't memorize commands. Just say, "Do this." Even without programming experience, let's have Claude Code perform 5 tasks. From file organization and document writing to data analysis, automation, and even web pages. The only payment required for this course is Claude Pro ($20/month). All other tools used are free.

Do you still code manually these days? We are now in an era where even "vibe coding" feels like a chore! Become an AI automation expert with n8n, no coding required. A guide to designing automation workflows that can be applied immediately to real-world tasks. Practical automation strategies to maximize work efficiency. Build intuitive workflows with n8n and experience a revolution in the way you work.

A selfish era where only those who know how to properly utilize AI can generate profit. Essential web development concepts for profitability and a realistic guide you must know to 'properly' direct AI coding agents. From the mindset of coding without writing a single line of code to realistic methods for building a product with zero budget, and even practical details on business registration and tax processing. This is an AI-driven profitable web programming guide filled with insights gained from the actual field.

This is a practical course on building a RAG-based document search system using the OpenAI API and Spring AI in a Spring Boot environment. You will learn the entire process of developing an AI assistant step by step, from the concepts of Prompt Engineering, Vector Stores, and Embeddings to rapid prototyping with Dify, MCP tool integration, multimodality, and guardrails. You can learn practical application strategies by comparing direct implementation with the use of no-code tools. 🆕 [Update] Section 4 now includes a supplementary lecture (1 hour) on TypeSafe’s Jev decision-making model, covering how to design an agent’s decision-making logic in greater depth.

Learn all at once how to use generative AI to support decision-making, develop strategies, derive implementation plans, and validate those strategies—and boost your organization’s performance.

You can implement hands-on practice of infinitely generating cryptocurrency trading signals automatically using ChatGPT and Python, and backtesting and validating them. Additionally, you can learn how to combine all the strategies automatically generated by AI into a single strategy and apply it to actual trading.

You can learn the core concepts of complex Next.js in a short time. We'll teach you only the essential practical knowledge for those learning Next.js for the first time. Captain Pangyo's new Next.js course, who has been conducting framework courses for 8 years. You can learn the coding and learning methods of "Frontend Developers in the AI Era"! 😊

I will show you "where to start" through a case study of building a service with non-developers in just one day, and explain "how to manage and collaborate" using the example of designing the GitHub structure for the Selfish Membership team.

From the basics of AI video to completing a short film all at once?! All-in-one video production connecting principles, theory, and practice.

Latest version as of October 2026. This is a 299-lesson course created by YouTube’s “AI Adjunct Professor Lee Jong-beom” (54,000 subscribers). It guides you step by step, starting with how to open a browser tab and progressing to creating an AI employee team with Claude Code. It includes approximately 290 practice worksheets and 1,000 credits.

Instead of writing longer prompts, I create rule files, logs, permissions, hooks, and validation routines one by one whenever something goes wrong in a real project. With a news alert bot that I actually built and deployed to a server in five days, 211 screenshots and 87 instructions exactly as originally written.

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.

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).

This video shows effective ways to link internal company data to sLM, and practical solutions for various issues from sLM adoption.