LLM Application Experience Sharing Session

Based on basic Python grammar knowledge, we will gradually increase the difficulty level from easy to difficult examples. During this process, you will learn how to study on your own, acquire solid grammar knowledge, and firmly establish your basics. In addition, we will learn frequently used patterns in Python programming.

The best introductory programming course that has already been taken and enjoyed by over 20,000 people. This introductory programming course was planned and prepared by Inflearn from the perspective of a non-major, and helps people who have never touched programming before to develop programming skills that can be used in real life.

This course focuses on teaching high-level grammar so that learners who have learned the basics of Python can apply Python to practical use. By understanding the unique features of Python and learning them quickly, you can become familiar with intermediate-level programming.

You can meet Excel as a data analysis tool that can add value to your work. This is a basic Excel course that teaches concepts in a broad and thorough manner from the basics.

This course is designed to cover the grammar of multi-threading, multi-processing, parallelism, and concurrency based on OS knowledge in preparation for technical interviews. You will learn basic knowledge about how to increase execution efficiency with multiple resources.

This course is designed to cover Python metaprogramming and in-depth grammar based on extensive Python development experience and online and offline teaching experience. Furthermore, we have prepared a curriculum that will be helpful for Python job seekers' interviews and technical interviews for experienced professionals. In addition, we will explain the process of directly distributing the library you created to PyPI (Python Package Index).

In an environment without a design team, product proposals, or a PM, how can we plan, deliver, and persuade? Kim Young-jun, former 29CM Product Design Lead, will share his self-product strategy focusing on Figma, along with practical case studies. Learn in detail everything from how to survive in a structureless environment to how to build structure with just Figma.

The renewal version of Life Coding's first web development course, <WEB 1 - HTML & Internet>, is being released exclusively on Inflearn!

Learn Figma, the most widely used collaboration tool in the world! Learn the basics of Figma, a design tool for UI design sketching, prototyping, and collaboration, and how to use it in practice.

How are product design and education changing in the AI era? Figma Official Community, FoF Seoul & Educators jointly hosted a meetup. Discover various cases and topics on AI-era product design and education, along with relevant sessions from global industry speakers who love Figma.

This is an introductory web development course for those starting programming for the first time. By learning HTML, CSS, and JavaScript and creating an Instagram post card, you will learn the essential basics required for web page production.

It explains the basic concepts step-by-step and helps you build practical knowledge by creating various applications that run in real-world web environments. By completing this course, you will be ready to be deployed immediately as a professional programmer.

[Inspiration Note] From ways to find inspiration in daily life with author Seunghee, to everything you're curious about regarding Seunghee as a brand marketer!

This video is a recording of a presentation session from the <Pangyo After-Work Meetup with Inflearn - Developer Career>.

This is a live video of Jung Heung-soo from Heung Button, which was broadcasted on January 23 as part of the <2025 Know Yourself Know Your Enemy Relay Live Campaign>.

This video is a recording of the presentation session held at < Pangyo After-Work Meetup with Inflearn #08 HTTP >.

This is a live video of Lee Jung-hwan, which was broadcast on January 16 as part of the <2025 Know Yourself Know Your Enemy Relay Live Campaign>.

This is a practice-oriented course for experienced developers with a computer science background transitioning to the latest AI technology stack. From the design to the implementation of LLM-based applications, you will establish AI solution adoption strategies by leveraging existing software engineering knowledge. Rebuild your career by integrating traditional development experience with modern AI technology.

RAG (Retrieval-Augmented Generation) from theory to the latest multimodal and agent-based RAG! This is a hands-on lecture designed to be understandable even for non-majors. From paper reviews to practical code implementation, it's designed so that even those encountering RAG for the first time can easily follow along.

This is a course that beginners can follow along with in a fun and easy way. Beyond simple chatbots, AI Agents that automate industry-specific business workflows. This course quickly covers the basic structure and core technologies of AI Agents (LangChain, LangGraph, RAG) in 1.5 hours, and is an introductory course where you build practical skills by directly creating mini agents that work with actual code. After completing the course, you'll understand the necessity of industry-specific data preprocessing and scalable design, and be prepared for advanced concepts covered in deeper courses.

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.

Explore how LLM applications are shifting the development paradigm. Understand why LLMs are becoming a sustainable core technology through comparisons with existing technologies, and learn about the essential skills and mindset shifts required for developers. Gain insights from expert instructors to grasp the essence and future direction of LLM application development.

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

Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

[Source Code Provided] No coding knowledge required. Build it instantly in your browser using Google's latest tool (IDX) without any installation! Stop studying coding syntax! This is an ultra-fast, hands-on course where you'll build an RAG chatbot that perfectly understands internal company documents through AI conversation (Vibe Coding) in the Google IDX environment and deploy it live to the web.

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.

Learn the entire process of running the latest Gemma 4 model directly on your MacBook without the burden of paid API costs. You will master performance maximization techniques using Apple Silicon's Metal API and optimal parameter settings for different VRAM capacities, while gaining the ability to build production-level local AI infrastructure based on FastAPI.

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

Solve the point where 80% get stuck at makeathons. Complete Raspberry Pi · Computer Vision · LLM · 3D Design in 4 weeks! Achieve top rankings at makeathons with a demonstrable smart mirror PoC!

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

Master the complete lifecycle of building modern Generative AI applications using Large Language Models, Retrieval-Augmented Generation, and Agentic AI systems. Learn to design enterprise-grade AI solutions from prompt engineering to deployment, combining LLMs with vector databases and external knowledge sources for production-ready applications.

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is currently the technology that has come closest to AGI. In this lecture, we will explore LLM and Agent technologies from a layperson's perspective.