Still coding alone? We're now in an era where AI handles 99% of the work for you. Instead of memorizing complex syntax, this course teaches you how to turn Google's powerful AI 'Gemini Pro' into your 24/7 AI development partner. Learn the fundamental principles of Flutter using the paid Gemini Pro model for free, and turn your ideas into reality through professional-level projects.

Now your imagination becomes the best game design document! With AI, you can complete your first game by having fun conversations as if assembling LEGO blocks. Try using Google Gemini Pro for free!

The hottest vibe coding these days! You can learn how to develop and deploy a website (Next.js) with just a click using AI tools. We'll even show you how to develop for free using Google Gemini Pro.

It's okay even if you don't know the first thing about coding. In this AI era, all you need is an idea and AI will write the code for you! This course is not simply about learning a programming language. It's a practical course where you learn 'the most modern development method' - giving commands (prompts) to the powerful AI code editor 'Cursor AI' to directly create the programs you've imagined.

# The Secret to Finding Your 'Quitting Time' Ever stayed up all night because one Excel formula broke, or had an entire report ruined by a single typo? If you're an office worker, you've probably experienced this at least once. This course was designed to break free from that 'repetitive pain.' You don't need to memorize complex coding syntax. We'll use Cursor AI, a tool powered by artificial intelligence that writes code when you give it text commands, and Streamlit, which lets anyone easily create websites. I've captured the process of solving real workplace pain points I've personally experienced (merging files by branch, automatically categorizing repair items, infinitely generating PDF confirmation documents, etc.) through 'conversational dialogue' without writing a single line of Python code yourself. After completing this course, you'll transform from a simple office worker into a 'digital transformation expert' who revolutionizes your team's work efficiency.

AI Era: Opportunities and Mindset for Knowledge Entrepreneurship Made Easy with Writing and Media Creation (Prompt Engineering, Gemini, Kling) No coding knowledge or AI experience required! All you need is your own experience and ideas. Learn practical methods to combine your professional expertise with AI tools to create digital content. Based on this foundation, you can create your own content and get significant help with various digital businesses you've wanted to try.

From Git basics to troubleshooting guide! This is a course where a practitioner clearly explains everything. I'll share all the essential tips and help you work without any problems in real-world situations, even if you're encountering this for the first time!

This is a practical Qt QML and C++ course built on 6 invaluable projects. Build your fundamental skills for real-world work through practice that covers various UI development and REST API communication!

This is a course covering the GitHub notebooks and bonus content from <Build a Large Language Model from Scratch> (Gilbut, 2025). GitHub: https://github.com/rickiepark/llm-from-scratch/ <Build a Large Language Model from Scratch> is the Korean translation of the bestseller <Build a Large Language Model (from Scratch)> (Manning, 2024) by Sebastian Raschka. This book provides a way to learn and utilize the operating principles of large language models by building a complete model starting from scratch with OpenAI's GPT-2 model.

This comprehensive course teaches you how to build any full-stack application using AI tools like Cursor AI, Claude Code, v0, ChatGPT, and Replit. Learn coding basics, front-end and back-end development, database integration, debugging, and deployment. Perfect for beginners and anyone looking to leverage AI to build real web and mobile apps quickly and efficiently.

Learn context engineering techniques for creating high-quality AI agents through hands-on practice.

In this course, you will learn how to design, build, and evaluate advanced RAG systems using the LangChain framework. You will master LCEL, Runnables, advanced retrieval techniques, chunking strategies, cross-encoder reranking, agent-based RAG, tool calling, SQL integration, and safety techniques using NeMo Guardrails. You will also learn how to trace, debug, and deploy a full-stack AI chatbot with LangFuse, React, FastAPI, and Docker.

This is a lecture covering LLM theory and practical examples based on <Large Language Models, Just the Essentials!> (Insight, 2025).

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 course covers how to leverage AI in the food and pharmaceutical manufacturing industry to enhance productivity and quality. Through real-world case studies, you'll learn how AI is applied in key stages such as raw material management, production processes, quality inspection, and regulatory compliance, while understanding defect rate reduction and efficient operational strategies. Through this course, learners will master ▲characteristics of the food and pharmaceutical industry and the necessity of AI adoption ▲data-driven quality management ▲predictive maintenance and equipment optimization ▲regulatory compliance monitoring and risk management ▲analysis of domestic and international implementation cases, gaining strategies and insights that can be immediately applied in the field.

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

"LoRA-based lightweight fine-tuning: Your first step to creating a customized LLM!" This course is an introductory hands-on lecture designed so that even those encountering LLMs for the first time can easily follow along. We minimize complex theory and guide you step-by-step through the entire process: loading models → applying data → training → comparing results. In a short time, you'll directly experience the flow of cutting-edge lightweight fine-tuning techniques like LoRA and QLoRA, gaining an intuitive understanding of "how LLM fine-tuning works." Even without extensive resources, experience the satisfaction of creating an LLM specialized for your domain!

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is the technology that has come closest to AGI at this point in time. In this lecture, we explore LLM and Agent technologies from a general public perspective.

We will learn step by step from the basic concepts of LLM (Large Language Model) to how to fine-tune the Llama 2 model, a high-performance LLM, on the dataset of your choice.

We explore the limitations of LLMs, methods to overcome them, and the latest research topics.

This explains the foundational principles of large language models like ChatGPT with a focus on theory.

This course is an introductory program designed so that learners who are new to AI technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and conduct hands-on practice directly generating images using various AI tools. Upon completing this course, you will become much closer to AI and acquire the capability to create AI images that can visually implement creative ideas.

This course is designed to teach the entire process of 'AI Training Data Construction,' which is essential for successfully executing AI modeling projects. Learners will not simply remain at the theoretical knowledge level, but will experience step-by-step the data construction processes required in actual practice. Specifically, the course covers the entire process from AI training data planning → acquisition → storage → preprocessing → labeling → pseudonymization and transformation through hands-on practice, structured to develop practical skills that can be immediately applied in the field. Additionally, learners will systematically study the most important data management capabilities in AI projects, such as data quality management and security issues, personal information de-identification processing, and dataset optimization. Through this, learners can grow from simple data collectors into data specialists who can proactively plan and execute AI projects. 👉 Through this course, learners will understand how to construct high-quality training data that determines AI model performance and acquire practical capabilities to effectively apply this in real work environments.

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

This course is a hands-on masterclass that completely dissects the core technological evolution of generative AI, from LDM (Latent Diffusion Model) to DiT (Diffusion Transformer). We directly analyze the latent space-based learning principles of LDM, the structure of Stable Diffusion, and the implementation methods of the latest Diffusion Transformer through papers and code. Students will systematically learn the latest trends and structural evolution of generative models by directly implementing LDM, CFG (Classifier-Free Guidance), and DiT models using PyTorch.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

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