Mastering Claude Code and AI Agents [2026]

In this course, you will learn advanced Docker features—including Data Persistence, Docker Volumes, Docker Networking, resource limits (CPU and memory), and service orchestration using Docker Compose—through hands-on practice. The course provides step-by-step explanations to help students resolve common real-world issues such as data loss, communication problems between containers, and the complexities of configuring multi-container applications. Rather than just learning theory, you will gain practical experience by building projects using MongoDB, Express, NGINX, and Docker Compose. Furthermore, through various exercises and projects, you will master how to efficiently manage and deploy services in a Docker environment, equipping yourself with practical skills applicable to real-world development and DevOps environments.

The greatest opportunity of our lifetime has arrived. Countless solo developers are currently creating multi-million dollar AI businesses by leveraging autonomous agents, workflows, and automation systems, and this course will show you the specific methods to build your own. In this hands-on course, you will learn how to design, deploy, and operate fully functional personal AI agents using Claude Code and Cowork. You will build production-ready automation systems capable of autonomously researching, writing, managing workflows, processing information, and performing tasks across your daily operations. This is not a theory-heavy course. Every section is project-based and focused on real-world application. You will learn how to: Build and deploy your own AI agent architecture Construct 10 interconnected AI automation systems that create synergy over time Create a sustainable AI identity using Soul Markdown files Connect Gmail, Calendar, Notion, and external tools via MCP integration Build long-term memory systems using Vaults and Obsidian Orchestrate multi-agent teams for research, writing, and analysis Create custom skills, slash commands, plugins, and reusable workflows Implement scheduling, triggers, approval flows, and autonomous execution Operate your AI agents directly from your phone using Dispatch By the end of this course, you will have a complete personal AI operating system capable of automating research, report writing, content creation, inbox management, meeting preparation, and various repetitive workflows. Whether you are an entrepreneur, analyst, consultant, developer, student, or knowledge worker, this course will provide you with the practical skills needed to leverage autonomous AI systems in your career and business.

No coding required. This is the most comprehensive AI Agent and AI Automation course for learners of all levels using n8n. In this course, you will learn how to build AI agents and AI automations, whether for yourself or for clients. It also guides beginners on how to automate various tasks using AI. AI is evolving at an incredibly fast pace. Don't fall behind. You can take your skills to the next level by learning how to apply AI to your personal life or business and by building useful AI agents and automations. This is a special opportunity to lead the AI era. This course covers how to use AI beyond ChatGPT and how to build AI agents and automation systems that actually work. This complete AI Agent course is one of the most comprehensive AI agent and AI automation training programs on the market today, offering over 7 hours of lecture content. It covers a wide range of topics, including the basic concepts of AI agents, how to use n8n, building AI agents and automations for business, stock and cryptocurrency trading using AI agents, AI-based sports betting, and discovering new business ideas using AI agents. Updated with the latest modules as of July 2025. What you will learn in this course: AI Agent and AI Automation Basics Understand what AI agents are and learn when to use them. Complete n8n Tutorial Master how to use n8n, the leading no-code tool for AI agents and AI automation. Building AI Agents for Business Learn how to design and build AI agents that can be practically used in various industries. Building AI Agents for Trading (Stocks and Crypto) Learn how to build AI agents that support analysis and decision-making for cryptocurrency, stocks, and sports betting. Real-world Use Cases Explore real business and personal project examples and application methods that can be applied when building AI agents. By the end of this comprehensive course, you will have the practical knowledge and skills to build functional AI agents and AI automation systems for your own business or for clients.

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

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

This course is not about non-developer office workers learning coding itself, but rather an education focused on developing the ability to solve business problems directly using AI agents. Previously, one had to rely on IT departments or outsourced development when problems arose, but we are now in an era where you can design alongside AI and create immediate prototypes to implement task automation. The core competencies required for this are problem definition, establishing solution strategies through AI collaboration, and the ability to build the necessary tools yourself. In particular, by utilizing Codex CLI, existing ChatGPT users can practice agentic coding immediately without additional costs, allowing non-developers to quickly gain practical experience. The curriculum is structured step-by-step, covering everything from understanding changes in the AI agent era to development basics, terminal usage, Codex CLI-based agentic coding, problem structuring, Django web app development, and the creation of actual task automation apps. Learners can secure task automation capabilities by directly building applications applicable to real-world work, such as To-Do lists, checklists, schedule management, meeting minutes, and summarization tools. The entire course is designed as a modular micro-learning system composed of short units, allowing for rapid learning of necessary content and immediate reuse during work.

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is currently the technology that has come closest to AGI. In this lecture, we will explore LLM and Agent technologies from a layperson's perspective.

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"! 😊

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).

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.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

Learn how to utilize AI prompts applicable to actual tasks and strategies for organizing an AX (AI Transformation) team. Through a systematic workflow-based approach, you will automate repetitive tasks and complete practical business automation solutions that can be immediately applied to the field.

Repetitive tasks like organizing Excel sheets, sending emails, and categorizing receipts… Are you still doing them manually? Now, leave those tasks to n8n and AI, and focus on what really matters. This course is designed to help anyone implement workflow automation using n8n—a tool that requires no coding—and apply it directly to real-world tasks. In just one hour, you will implement automation from A to Z yourself. Instead of a long 10-hour lecture, we give you only the essential core! To save your time, we focus solely on practical, real-world workflows.

For those of you who have completed intermediate SwiftUI, it is now time to integrate AI into your apps. Complete an on-device AI app that runs locally without an internet connection using Apple Intelligence and the FoundationModels framework.

Learn AI utilization methods and performance improvement strategies tailored to real-world business situations. (i.e., you won't learn things like automatic short-form video generation.) This is a practical course where you learn to leverage AI not merely as a tool, but as an ultimate instrument for business efficiency. By utilizing various generative AI and the latest AI agents such as ChatGPT, Gemini, NotebookLM, Gesnpark, Skywork, etc., you will master AI prompt utilization → AI data analysis → and AI task automation implementation, all at once. This class is optimized for planners, marketers, managers, founders, and others who wish to acquire business productivity and performance enhancement strategies directly applicable to their work.

In the generative AI era, anyone can use it, but those who use it well are different. For those new to GPT, Gemini, and Claude, you will fully understand the world of AI through 100 practical prompts that you learn by actual input.

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).

The semiconductor industry is a representative manufacturing sector where production facilities, control systems, partners, and data are closely interconnected. For this reason, even a small security incident or system failure can lead to production shutdowns, quality issues, delivery delays, and technology leaks. This lecture explains the OT security threats that can occur at semiconductor manufacturing sites in a way that even beginners can easily understand. Rather than focusing on complex technical explanations, it centers on what security problems can arise in the actual field, why the semiconductor industry is a target for attacks, and how security incidents impact companies. Furthermore, it examines how security threats are evolving as manufacturing environments become more intelligent with the spread of AI and smart factories.

: "From Mathematical Foundations to the Latest Models, Completing the Deep Learning Pipeline with PyTorch (44 Lectures in Total)" The era of simply learning how to call model.fit() is over. From the very basics of artificial neural networks—differentiation and gradient descent—to essential PyTorch techniques used in the industry, and CNN/RNN for handling image and time-series data! We will help you systematically master the entire process of deep learning. Go beyond analyzed data and step into the amazing world of deep learning, where artificial intelligence mimicking the human brain learns and makes decisions on its own.

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.

Learn the entire process of running the latest Gemma 4 model directly on your MacBook without the burden of paid API costs. You will master performance maximization techniques using Apple Silicon's Metal API and optimal parameter settings for different VRAM capacities, while gaining the ability to build production-level local AI infrastructure based on FastAPI.

AI, the Key to Opening the World of Statistics "AI, by enabling easy mastery of complex statistical principles and analysis techniques, uncovers hidden meanings in data and provides insights for better decision-making. AI is now beyond a complex statistical calculator; it is a companion supporting statistical thinking."

This is a hands-on course where you will complete an entire fashion brand project—from planning to lookbooks and advertising videos—using ChatGPT, Midjourney, and Illustrator. Go beyond simply learning AI tools and create your own brand message and visual identity.