Inflearn - Lifetime Career Platform

I share basic background knowledge and development experience for LLM Application development.

LLM: A pro quickly delivers core content, from essentials to practical tips!

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.

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.

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.

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.

This is a lecture directly from the author of <Prompt Engineering>. Master the fundamentals to skillfully utilize various AIs such as ChatGPT, Gemini, and Claude!

This video shares the experience/know-how learned while building an LLM Application with over 200,000 MAU and the supporting LLMOps environment.

This is a course to learn the concepts and usage methods of the LangChain library, and to build your own ChatGPT using the LangChain library.

AI Agent Security in Practice: From Prompt Injection to Privilege Misuse is a course that covers major security threats that may arise during the adoption and operation of AI agents, along with ways to address them. You will gain a structured understanding of security issues that can occur with AI agents, including prompt injection, sensitive information exposure, tool-call manipulation, and excessive permissions. You will also learn practical countermeasures applicable in the field, such as least privilege, input and output validation, execution approval, and log monitoring. Through this course, you will develop the security skills needed to plan, build, and operate AI agents more safely.

Go beyond a simple system prompt to build an AI character chatbot that remembers users and whose relationship with them evolves, using persona design and Structured Outputs. In this 30-minute hands-on session, you’ll learn how to safely call the OpenAI API based on the provided starter project, process emotions, trust levels, and memories in a verifiable format using JSON Schema and Zod, and use an AI coding agent within defined constraints.

This is the edited live video from the LLM Application Experience Sharing Session with knowledge sharer Kang Byung-jin :)

What if ChatGPT were embedded within your own application? In this lecture, we will develop various programs using the ChatGPT API. We will cover all processes in detail, from basic API usage to program creation and deployment.

[Sustainable AX and How to Collaborate with AI Colleagues] Have you encountered these limitations when trying to apply AI tools to your work? 🙋‍♂️ : "Entering the commands from scratch every time is actually more of a hassle." 👨‍💻 : "I’m tired of one-off tasks that simply involve repeating copy-and-paste." 🤷‍♂️ : "Since I don’t have a background in development, I can’t even imagine automating more advanced tasks." What we need now is not simply 'how to use tools'—learning the features. It is a mindset of cultivating your own AI colleague—one that understands the context of your work and grows smarter on its own over time. We transparently share a practical, field-oriented AX (AI transformation) guideline developed by a non-developer planner through countless trials and errors in the workplace.

This is a practical course where you can directly create AI images and videos with ComfyUI and automate repetitive tasks through n8n integration. You can learn everything from utilizing local and cloud GPUs to the latest models, editing, LoRA, and video generation all at once.

This will be the definitive guide to Claude Code. This course dives deep into how and why Claude Code works, teaches you how to directly apply the components of harness engineering, and even dissects actual production code. Take the know-how of a developer with over 10 years of experience and transform into a key talent in the era of AI agents.

Now, your AI is no longer in the cloud. It runs directly inside your laptop. Using LM Studio and Ollama, we will show you how to build a Private AI environment that runs entirely locally— from data processing and document analysis to code generation. Without security concerns, without costs, and even faster— Move beyond simply "using" AI and start "truly mastering" it.

Building a Full-Stack System Without Coding: Complete the entire pipeline from data collection to AI/ML analysis and web dashboards using only Korean prompts (Vibe Coding). Owning a 100% Automated Pipeline: Secure an independent stock analysis tool that sends S&P 500 screening and investment opinions via Telegram every morning. Acquiring a Practical Data-Based Investment Framework: Master institutional-level data analysis and risk management capabilities based on source code currently in actual operation.

This course is for non-developers who want to learn Claude Code but find the official documentation full of developer jargon, while YouTube focuses only on vibe coding (app/web development) and doesn’t explain how to use it for automating real-world work. Concepts are explained through comics and easy-to-understand analogies, with hands-on practice in a desktop app environment without using the terminal. It also walks you through three practical work-automation examples from start to finish: work automation, creating detailed product pages, and automating the production of card news, blog posts, and short-form videos.

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.