인프런 - 라이프타임 커리어 플랫폼

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

Learn LangChain's basic concepts and usage with Python. Hands-on practice will be conducted primarily in a Google Colab (colab) environment, with materials provided via Github.

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

“The era of merely asking AI and getting answers is over.” Now, AI acts on its own. 'Action-oriented AI agents' have emerged that read emails, check remaining annual leave in HR systems, schedule meetings, search internal documents to summarize information, and organize necessary images and links. What's surprising is that all of this can be created even if you're not a developer. By leveraging the Azure AI Agent platform and Microsoft's latest frameworks (Semantic Kernel, AutoGen, etc.), anyone can now build multi-agent systems deployable in actual work, without coding. Directly create 'working AI,' 'connected AI,' and 'AI that judges and moves on its own.' The future is no longer a distant story. It begins now, at your fingertips.

TypeScript LangChain Basics: From LLM Essentials to RAG

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

After ChatGPT was released in 2022, AI has become a very close software in our lives. The performance of models is improving day by day, and many new software applications that didn't exist before are emerging using AI. In 2025, as AI agents become a hot topic, many people are starting to develop AI agents. You may have heard the term AI agent, but this is an introductory tutorial that will help you understand what an AI agent is, why it has suddenly become a topic of discussion among so many people, how to create an AI agent, and how to easily build one using ADK.

This course focuses on M365 Copilot, a smart work partner in the Microsoft 365 ecosystem, and covers how to achieve work innovation by utilizing AI in an environment where security and copyright are protected. It introduces the main features of Copilot and various ways to leverage it in conjunction with Microsoft 365 services, while also presenting prompting techniques to elicit accurate and effective responses.

Still think M365 Copilot is just a ‘helpful tool’? Now is the ‘era of directly building’ M365 Copilot. “Have you tried Microsoft 365 Copilot?” Meeting summaries, document creation, email organization… While convenient, can we truly say AI is genuinely ‘working on your behalf’ with just this? If people still have to design processes, move files, and push buttons, AI is still just an assistant. How to move beyond being an M365 Copilot user and become someone who ‘directly builds’ M365 Copilot. We’ll show you how to design and deploy your own ‘actionable Copilot’ by combining the powerful features of Copilot Studio and Azure AI (such as AI Foundry, AI Search, Speech, Custom Models).

Learn the easiest way to handle AI with Spring AI. Let's learn Spring AI by building a RAG chatbot.

This is a hands-on tutorial on how to integrate with IntelliJ and develop quickly using the Model Context Protocol (MCP).

This course covers the fundamentals of the Notion API and teaches you how to automate Notion by integrating AI (Claude) using Notion MCP. You'll learn to directly control blocks, pages, and databases by following the official API documentation, and ultimately complete a hands-on project that creates databases and automatically adds pages by analyzing text file content using only natural language commands (prompts).