Creating 10 Types of AI Agents Using Claude Code and Claude Cowork [2026]

# Building AI Apps and AI Agents with Claude Code — Completing Real-World Projects Without Coding ## Claude Code and the New Era of Artificial Intelligence (AI) Generative Artificial Intelligence (AI) is fundamentally changing the way software is developed. In the past, building web applications, mobile apps, and automation systems required writing thousands of lines of code manually. Now, however, you can build powerful applications and AI Agents using only natural language by leveraging modern AI development tools like Claude Code. This course is designed for everyone—from beginners with no development experience to professionals, entrepreneurs, marketers, and freelancers looking to maximize productivity—to create real services using Claude Code. --- ## Why Should You Learn Claude Code? Claude Code is more than just a chatbot. It is a next-generation AI development environment capable of understanding user requirements, creating plans, generating code, and performing complex tasks using external tools. In this course, you will go beyond simple prompt input and learn how to build AI Agent systems that can be utilized in actual business operations. In particular, you will learn how to achieve more accurate and consistent results using prompt engineering techniques. Additionally, we cover how to build various automation workflows to reduce repetitive tasks and improve productivity. --- ## Learning Claude Code Through Real-World Projects This course is a project-based learning experience, not a theory-centered one. Students will master the core features of Claude Code while building actual services. ### AI-Powered Landing Page Creation Learn how to generate and modify modern landing pages using Claude Code. Even without design experience, you can create professional results using AI. ### Developing Apps Integrated with Google Gemini API Build AI applications featuring image recognition and data analysis capabilities using the Google Gemini API. Experience the process of API integration used in real-world services. ### Building AI Agents with Memory Create persistent AI Agents that remember user conversations and data. Through this, learn how to provide a more personalized user experience. ### Developing Agents Utilizing Real-Time Tools Build AI Agents that perform various functions such as web searching, data retrieval, and connecting to external services. ### Building Multi-AI Agent Systems Design and deploy Multi-Agent systems where multiple AI Agents collaborate to solve complex problems. Experience the AI collaboration structures used in actual corporate environments. --- ## Mastering Advanced Claude Code Features ### Utilizing Plugins and Skills Learn how to expand an agent's capabilities using Claude Code's plugins and Skills features. ### Utilizing Slash Commands Learn how to design and use Slash Commands to quickly execute repetitive tasks. ### Managing CLAUDE.md Files Learn how to manage project rules and context using CLAUDE.md files to achieve more stable results. ### Context Window Optimization Master context management strategies to maintain performance even during long-term tasks. --- ## Utilizing MCPs and Workflow Services In the modern AI ecosystem, MCPs (Model Context Protocols) are becoming increasingly important. In this course, you will learn how to connect and extend Claude Code with external tools using MCPs. Furthermore, you will implement an end-to-end automation environment where multiple tools and AI Agents work together by building a workflowservice-based automation system. Through this, you can automate various business tasks such as marketing automation, content creation, competitor analysis, customer support, and data analysis. --- ## Recommended For * Beginners learning Claude Code for the first time * Developers and non-developers interested in AI Agent development * Those who want to improve their prompt engineering skills * Professionals who want to solve repetitive tasks through automation * Entrepreneurs looking to build AI startups or SaaS services * Those who want to learn about MCPs and the latest AI workflows * Those interested in building AI automation systems based on workflowservice --- ## What You Will Achieve After the Course Upon completing the course, you will not only have learned how to use Claude Code but will also be able to directly build and deploy AI Agents, automation systems, and AI applications usable in real-world business. Additionally, you will gain the capability to apply the latest AI technology stacks—including Claude Code, Artificial Intelligence (AI), prompt engineering, automation, mcps, and workflowservice—to your practical work.

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.

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.

# Building AI Apps and AI Agents with Claude Code — Completing Real-World Projects Without Coding ## Claude Code and the New Era of Artificial Intelligence (AI) Generative Artificial Intelligence (AI) is fundamentally changing the way software is developed. In the past, building web applications, mobile apps, and automation systems required writing thousands of lines of code manually. Now, however, you can build powerful applications and AI Agents using only natural language by leveraging modern AI development tools like Claude Code. This course is designed for everyone—from beginners with no development experience to professionals, entrepreneurs, marketers, and freelancers looking to maximize productivity—to create real services using Claude Code. --- ## Why Should You Learn Claude Code? Claude Code is more than just a chatbot. It is a next-generation AI development environment capable of understanding user requirements, creating plans, generating code, and performing complex tasks using external tools. In this course, you will go beyond simple prompt input and learn how to build AI Agent systems that can be utilized in actual business operations. In particular, you will learn how to achieve more accurate and consistent results using prompt engineering techniques. Additionally, we cover how to build various automation workflows to reduce repetitive tasks and improve productivity. --- ## Learning Claude Code Through Real-World Projects This course is a project-based learning experience, not a theory-centered one. Students will master the core features of Claude Code while building actual services. ### AI-Powered Landing Page Creation Learn how to generate and modify modern landing pages using Claude Code. Even without design experience, you can create professional results using AI. ### Developing Apps Integrated with Google Gemini API Build AI applications featuring image recognition and data analysis capabilities using the Google Gemini API. Experience the process of API integration used in real-world services. ### Building AI Agents with Memory Create persistent AI Agents that remember user conversations and data. Through this, learn how to provide a more personalized user experience. ### Developing Agents Utilizing Real-Time Tools Build AI Agents that perform various functions such as web searching, data retrieval, and connecting to external services. ### Building Multi-AI Agent Systems Design and deploy Multi-Agent systems where multiple AI Agents collaborate to solve complex problems. Experience the AI collaboration structures used in actual corporate environments. --- ## Mastering Advanced Claude Code Features ### Utilizing Plugins and Skills Learn how to expand an agent's capabilities using Claude Code's plugins and Skills features. ### Utilizing Slash Commands Learn how to design and use Slash Commands to quickly execute repetitive tasks. ### Managing CLAUDE.md Files Learn how to manage project rules and context using CLAUDE.md files to achieve more stable results. ### Context Window Optimization Master context management strategies to maintain performance even during long-term tasks. --- ## Utilizing MCPs and Workflow Services In the modern AI ecosystem, MCPs (Model Context Protocols) are becoming increasingly important. In this course, you will learn how to connect and extend Claude Code with external tools using MCPs. Furthermore, you will implement an end-to-end automation environment where multiple tools and AI Agents work together by building a workflowservice-based automation system. Through this, you can automate various business tasks such as marketing automation, content creation, competitor analysis, customer support, and data analysis. --- ## Recommended For * Beginners learning Claude Code for the first time * Developers and non-developers interested in AI Agent development * Those who want to improve their prompt engineering skills * Professionals who want to solve repetitive tasks through automation * Entrepreneurs looking to build AI startups or SaaS services * Those who want to learn about MCPs and the latest AI workflows * Those interested in building AI automation systems based on workflowservice --- ## What You Will Achieve After the Course Upon completing the course, you will not only have learned how to use Claude Code but will also be able to directly build and deploy AI Agents, automation systems, and AI applications usable in real-world business. Additionally, you will gain the capability to apply the latest AI technology stacks—including Claude Code, Artificial Intelligence (AI), prompt engineering, automation, mcps, and workflowservice—to your practical work.

The lecture explains why the harness is more important than the model through the Claude Code architecture. It covers how to design the Claude Code task system using six structures: Context Harness, Permission Harness, Verification Harness, Tool Harness, Subagent & Worktree Harness, and Debugging Harness. Afterward, it connects these concepts to CLAUDE.md, session management, large codebase control, worktree parallel operations, error log analysis, and tracking environment variables and configuration scope issues, establishing the standards for continuously using Claude Code in practical backend and DevOps workflows.

Beyond the era of simply using AI, we are now in an era that requires people who can design AI. This course is a master roadmap that systematically organizes the entire design map of AI agents, from "Introduction → Structure → Design → Operation." Based on RAG, Tool Calling, Memory, and Multi-Agent structures, you will learn how to design and scale AI agents from an architect's perspective. If you want to grow into someone who designs AI systems rather than just someone who "uses" AI, this course will provide the direction.

We will summarize all the hot topics regarding Generative AI, LLMs, and Agents from throughout 2025! Focusing on the announcements from the three major AI developers (OpenAI, Google, and Anthropic), we will take a look at the trends of AI that have advanced remarkably in '25.

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.

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

This is an advanced course focused on designing and implementing Multi-LLM architectures and orchestration-centered Agent systems (Main/Sub, Tool, Task Runtime, Agent Registry) by strategically combining GPT, Gemini, and LLaMA (local) based on Spring AI and Spring Boot. Moving beyond simple LLM calls, the curriculum covers the implementation of scalable, stable, and continuously improving AI systems. This involves applying Agentic Workflow Patterns (Chain, Parallel, Routing, Orchestrator–Workers, Evaluator–Optimizer) and Multi-Agent structures, separating execution layers like RAG and external APIs/DBs via Tool/ToolRegistry, and utilizing DAG engines, YAML declarative workflows, and Validated DSL (validation immediately after loading). Furthermore, the course includes Circuit Breakers, Reactive Streams, Redis monitoring, parallel processing, and iterative evaluation loops. It expands from Thymeleaf (SSR) exercises to decoupled Front-end/Back-end architectures using React and REST, while integrating tool and agent runtimes via MCP (Model Context Protocol) to build AI architecture design capabilities at a production-ready level. The ultimate goal is to evolve beyond being a simple AI user who merely integrates APIs and writes prompts, becoming a developer capable of designing AI systems—explaining and balancing Multi-LLM, agents, workflows, declarations, and validation within a single execution architecture.

You will learn how to create a $50,000 MVP (Minimum Viable Product) using Claude Code, which even non-majors can easily learn. We are now in an era where anyone can build software and start a business without spending a fortune. I have opened this course with the intention of helping you take your first steps into this new era by learning together!

"Life is short, you need Rookiss." In the first lecture of Rookiss's Pinpoint Lesson series - Introduction to Claude Code, you will easily learn the overall concepts related to Claude Code and agents through self-developed visualized teaching materials.

No coding knowledge required, build your very first service with Google Stitch An all-in-one AI development workflow that connects everything from planning to deployment in a single stream

AI is only as good as you are. Master "Vibe Coding" through a three-step process: AI utilization, foundational core knowledge, and project development. For those who want to learn Vibe Coding properly, we deliver the unchanging core concepts—applicable to any AI—in bite-sized pieces.

The era of simply receiving code "suggestions" is over. I will clearly and simply introduce you to Google Antigravity, a next-generation agent development platform where AI agents directly control the editor, terminal, and browser to plan, execute, and verify complex software tasks.

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.

A current startup CTO will share vibe coding knowledge gained through actual services and various outsourcing projects.

And we are in the era of AI now. In the past, the "app-first" approach was difficult. Someone had to give you the code—whether you copied it from a book or found it on the internet. But now, we have AI. If you say, "Make me an app," it actually generates the app code. This is a complete game changer. Now, anyone can have an app from day one. And while looking at that app, they can ask, "What is this?" The method I used 10 years ago is now something anyone can do.

Learn a complete workflow for efficiently creating your own e-book utilizing AI and automation tools. From slide creation with Marp and PDF/EPUB conversion using Pandoc, to MySQL database management, cover design, and publishing preparation, this guide provides a systematic production process applicable directly in practice, step-by-step.

Are you confused about which technology trends really matter among the flood of information? We've analyzed global reports from Gartner, Microsoft, and others to clearly explain 10 key technologies (multi-agent systems, physical AI, AI security, etc.) that will define 2026.

"Can I build an app without knowing a single line of code?" This course is a 6-day journey that answers that question with a resounding "Yes, you can." In the process of creating a random lunch menu picker app by conversing with AI, you will learn how to write prompts to order an app from Claude on the first day. From there, you will add features day by day—including adding/deleting items, slot machine animations, permanent data storage, statistical charts, and sharing functions—to create a high-quality app ready for the App Store. Each lesson offers three challenge courses tailored to your level, allowing both those unfamiliar with code and those with coding experience to grow at their own pace. What you truly learn in this challenge is not just code, but how to ask the right questions to AI—a skill that applies everywhere, not just in app development.

Generative AI is rewriting how the world works — and the people who learn it now will lead the next decade. Every industry is being reshaped in real time. Marketers are creating campaigns in minutes. Developers are shipping code faster than ever. Entire teams are automating work that used to take days. And at the center of it all sits one skill that separates those who get left behind from those who get ahead: knowing how to actually use Generative AI. The problem? Most people are still only scratching the surface. They've typed a question into ChatGPT, gotten an average answer, and assumed that's all there is. But beneath that simple chat box is one of the most powerful technologies ever built — and once you understand how it works and how to direct it, you'll never work the same way again. That's exactly what this course is built to do. Introduction to Generative AI takes you from complete beginner to confident, capable AI user — no coding, no maths, and no prior experience required. In clear, jargon-free language, you'll discover what Generative AI really is, how it works under the hood, and how to put it to work in your job, your business, and your everyday life. This isn't a dry, theoretical lecture series. It's a practical, demo-driven journey packed with real examples you can follow and copy immediately. You'll start with the foundations — what Artificial Intelligence, Machine Learning, and Deep Learning actually mean, and how Generative AI fits into the bigger picture. You'll explore ChatGPT's features and capabilities hands-on, understand why this technology has exploded so quickly, and trace its remarkable evolution. From there, you'll demystify the engine that powers it all: Large Language Models. You'll see exactly how next-word prediction, embeddings, and fine-tuning work, and you'll understand game-changing concepts like Retrieval Augmented Generation (RAG) and the rise of Agentic AI — the difference between an assistant that answers and one that acts. Then comes the real superpower: prompt engineering. This is where most learners go from "AI is interesting" to "AI is indispensable." You won't just learn what prompting is — you'll master more than a dozen proven techniques used by professionals every day, including chain-of-thought prompting, zero/one/few-shot prompting, tabular prompting, perspective prompting, comparative prompting, reverse prompting, the RGC framework, and many more. You'll get ready-to-use prompt starters, learn how to revise and sharpen your prompts for dramatically better results, and discover how to generate fresh ideas, marketing copy, client emails, and content at scale. By the end, you'll know how to make AI do precisely what you want — consistently. You'll see it all in action. This course is loaded with practical demonstrations across real business scenarios. Watch AI summarise meetings and capture insights with an AI notetaker, draft polished email responses in seconds, and spin up multiple marketing headline variations from a single product image. You'll explore how Generative AI is transforming software development, retail, and marketing, and you'll see real tools at work — generating working code with GitHub Copilot and creating images and video with cutting-edge tools like Amazon Nova. These aren't hypotheticals. They're workflows you can start using the moment you finish the lesson. But great power demands responsibility — and this course doesn't skip the hard parts. You'll dive into Responsible AI and learn how to spot and manage hallucinations, factual inaccuracies, bias, and fairness issues. You'll understand the genuine technical limitations of today's models and the practical workarounds that experienced users rely on. Through real examples — including safety refusals and bias-correction rewrites — you'll learn to use these tools wisely, ethically, and with confidence, the way professionals and organisations are expected to. And you'll finish looking forward, not just at today. You'll discover how Generative AI is disrupting search and reshaping the way the world finds information, explore the road toward Artificial General Intelligence (AGI), and get a clear-eyed view of the jobs, certifications, and fast-growing career opportunities this field is creating. Whether you want to future-proof your career, boost your productivity, or build something new, you'll leave knowing exactly where this technology is heading and how to ride the wave. Why learn from this course? You'll be joining a community of over 207,000+ students taught across leading platforms, backed by a 4.6 instructor rating and 13,000+ reviews. Every concept is explained simply, every technique is shown in practice, and every lesson is designed to take you one step closer to genuine confidence with AI. No fluff. No overwhelm. Just clear, practical, up-to-date learning that respects your time. This course is for you if you're a beginner curious about AI, a professional who wants to work faster and smarter, a marketer, creator, developer, entrepreneur, or simply someone who refuses to be left behind by the biggest technology shift of our generation. If you can use a web browser, you can do this course — and you can start today. The gap between people who use AI and people who master it is widening every single day. The tools are here. The opportunity is now. The only question is which side of that gap you want to be on. Enrol today and start your journey from AI curious to AI confident — one practical, powerful lesson at a time.

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.