Practical AI Image Creation Class: From Ultimate Prompt Engineering to Editing and Completion

This is a hands-on 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 implementation strategies by comparing direct development with the use of no-code tools.

The one-year real-world record of a company that declared an “AI all-in” strategy. This case study introduces how DeNA, one of Japan’s leading IT companies, transformed an organization of 3,000 people into an AI-native company. For organizations preparing for an AI transformation, we’ve gathered only the most useful insights.

Explore → Plan → Implement → Commit. Master a proven AI development workflow with Claude Code. Learn everything from MCP and sub-agents to prompt engineering through 23 missions, and complete 3 real-world projects.

Hashing, salting, JWT, symmetric and asymmetric keys, and even HTTPS and TLS. The backbone of security that we use every day yet always found vague and unsettling. If we have to face the countless neglected threats and technical debt someday, let’s properly tackle them once and for all this time.

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.

Please check the link (https://hanb.link/1blt) for updates as of September 2026. If you want to learn step by step—including features introduced since the book’s publication, such as harness engineering, Claude Design, and dynamic workflows—check out the 25-session hands-on course from Hanbit+. 🔍 Search for '혼자 공부하는 바이브 코딩' on Hanbit+ (hanbit.co.kr) · Lifelong Education Voucher accepted We live in an era when you can build apps without knowing how to code. If you have an idea, you can converse with Claude Code and implement the features you want. Rather than writing code directly, this book introduces a new development approach that involves communicating with AI to achieve the desired results. By following 15 hands-on projects, you will experience a variety of workflows with AI—from creating a personal webpage to handwriting recognition, quiz apps, image-based recommendations, AI summarization, Notion automation, and cloud deployment. Rather than simply following basic examples, the book provides the experience of completing the entire practical development process—from planning and design to testing and deployment—in collaboration with AI.

With the Codex × Hermes combo, personally build a one-person AI office over 8 weeks, where a single operator runs four subsidiaries (text, short-form, data, and finance) simultaneously!

"The cost of making one app is the price of a cup of coffee." Learn vibe coding with Kimi K3, an open-weight model with 2.8 trillion parameters. You’ll launch your first app in a browser with a single sentence, create a UI by providing a hand-drawn sketch, and have it build and deploy an entire full-stack web app to the internet. If you’re already using Claude Code, you’ll also learn how to keep that environment as-is and simply switch the model to K3. It’s pay-as-you-go, not a monthly subscription. In an actual test, one session that created and deployed an app cost 1.69 dollars. 14 lessons, approximately 102 minutes total; the course is free.

You know about AI agent frameworks, but understanding how they work and applying them in practice can be difficult, right? Drawing on firsthand experience from Silicon Valley, we’ll guide you from the core principles to practical applications.

Learn how to create a team of AI Agents with Grokbot that goes beyond simply chatting with AI to perform development, research, design, and operations tasks on your behalf. Build everything hands-on—from Agent design to Prompts/Rules, browser, terminal, and tool usage, Multi-Agent collaboration, Memory, Skills, Routines, cost optimization, and failure recovery—and ultimately complete a 24/7 AI Company system that performs repetitive tasks without requiring constant human instructions.

This is a hands-on OpenAI Codex course for both non-developers and developers. You’ll learn everything from the basics to building websites and programs, automating tasks, harness engineering, and advanced features with ease, while developing the ability to learn new features independently using the latest official documentation.

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.

If you feel lost about what to learn in an era where AI writes code, you can find clear answers in the principles of UNIX and the kernel—the unchanging essence of systems. Through a practical project that integrates Node.js with a C language engine (FFmpeg), this course delivers the perspective of the top 1% of architects who command entire systems without being swayed by technology trends.

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.

This is an introductory course for those using Claude Code for the first time. You won’t do the coding yourself—Claude writes both the code and the configuration files. Starting with creating a psychological test in the browser, you’ll build a household budget using card transaction records, create an escape room game, and make a travel itinerary that connects to external services like Google Calendar and Notion. Since you learn each feature as it becomes necessary, you’ll also understand why that feature is needed.

How to Finish, Not Just How to Get Things Done. This course is for those who have tried having AI do things for them but feel overwhelmed about where to start with their own projects. You’ll learn a workflow where you define the intent first, leave implementation and verification to AI, and use the result yourself before making a judgment. You’ll complete a deployment together once using a feedme clone and once independently with your own idea, learning your own way of working.

AI is only as good as you are. Learn vibe coding properly in three steps: how to use AI → essential foundational knowledge → project development. For those who want to learn vibe coding the right way, we deliver the core concepts that remain unchanged regardless of which AI you use, broken down into bite-sized pieces.

How do people who work effectively use AI? Learn how to work with AI by following along—from connecting files and apps with Claude Desktop (Claude Desktop), delegating repetitive tasks, and even creating your own work tools! “Oh, so this is what Claude Desktop can do!”

Processing actual smart health data held by Daegu Haany University for use in machine learning, and creating customized smart health applications using vibe coding and refined information.

This course covers implementing combat, UI, data, and server functionality for a Unity idle game using CLI- and MCP-based AI tools. You’ll learn the entire process of applying Firebase, ads, in-app purchases, and Addressables to launch a mobile game on Google Play.