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

# Building an 'Intelligent Collaboration' Expert Agent Team Using Spring AI Router Pattern + RAG + MCP Beyond Single Agents to Architecture: The Definitive Guide to Router Pattern and Agent Isolation Design

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

# 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.

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.

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"! 😊

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

Find your way through the sea of data and explore the future of artificial intelligence. This course explores the two massive technological trends of Big Data and Artificial Intelligence (AI), examining how they are bringing innovation to our lives and work.

This is a Silicon Valley internship and 30 Big Tech system design & open-source contribution mastery course that ensures job security even in the AI era. In this course, you will design and scale 30 real-world system designs using cases from Big Tech companies such as Netflix, Tesla, Meta, and Tinder. Finally, you will design your own service from architecture to DB and scaling.

As the adoption of generative AI accelerates, new security threats such as corporate confidential information leaks and prompt injections are surging. This course covers strategies for embedding security throughout the entire AI lifecycle, based on the National Intelligence Service (NIS) guidelines' 30 core security measures and 15 practical threat cases. It also addresses security issues in the latest AI trends, such as Agentic AI and Physical AI, and presents methods for establishing governance frameworks that can be immediately applied in practice.

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.

This course is designed for those who use AI but are confused about how much they can trust it. It covers how to use AI in your work or creative process without overdoing it, ensuring it provides actual value. Rather than requiring professional development knowledge or complex tools, it focuses on how anyone can effectively integrate AI into their own workflow. Instead of teaching complex prompt engineering, the course focuses on the mindset of **knowing when to use AI and when it's better not to**, as well as **how to verify and refine AI outputs** rather than trusting them blindly. Through this course, you will establish criteria for using AI not as an automation tool that replaces everything, but as a **practical partner** that helps organize your thoughts and assists in your work.

You will understand the present and future of AI technology, experience the testing process of AI models such as machine learning, and learn the role of a tester. You will gain a broad range of knowledge, from establishing AI-based system testing strategies to designing and executing test cases, as well as utilizing AI for test support. This course is based on the ISTQB AI Testing syllabus and provides an opportunity to perfectly prepare for the ISTQB AI Testing certification exam.

Learn machine learning techniques using Python and improve your ability to extract information from real-world data and develop predictive models!

If you want to create your own AI service without coding, this course is the perfect solution. Using the Dify no-code platform, you can create high-quality AI apps with just your ideas. Instead of complex theory, it's structured around hands-on projects, allowing both AI beginners and working professionals to develop practical skills.

We will explore the types of applications and web services that can be built using LLMs.

We provide an easy understanding of the concepts and principles of generative AI from a humanities perspective, including literature, film, music, and history, while exploring the cultural impacts and life changes AI will bring. We offer practical insights and strategies on how individuals and companies should respond and prepare for the AI era.

Understand and learn about Artificial Intelligence and AI ethics, and strengthen your AI digital capabilities by integrating them with your own field of study!

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.

Build barrier-free work experience through AI zero-capital entrepreneurship in just 2 weeks