Introduction to Building a Smart Farm Platform - IoT Smart Farm Starting with Arduino and AI Tutor

This is an advanced course where you will directly implement and interpret practical statistical techniques such as sampling distributions, hypothesis testing, regression analysis, and logistic regression using R. By utilizing AI tutors like ChatGPT and Gemini, you will learn everything from code generation to interpreting analysis results and writing reports, allowing you to take your data analysis capabilities to the next level.

Feeling overwhelmed by where to start with complex data analysis? I will clearly guide you through how to utilize R and AI Tutors using the practical know-how I've built up.

This course is structured to provide systematic learning, from basic database concepts to practical SQL applications, based on the Oracle Database 11g environment. Through step-by-step hands-on practice, you will master core content essential for database practice, including SELECT statements for data retrieval, DML for data manipulation, DDL for data definition, and user privilege management. Furthermore, this course goes beyond simple video lectures by providing an LLM-based AI Tutor, designed to allow learners to study by asking questions and receiving answers on their own. By utilizing the AI Tutor, the following types of learning are possible: - SQL syntax explanations and example generation - Analysis and correction of SQL error causes - Automatic generation of practice problems - Q&A on database concepts - Customized review based on learning progress - Generation of expected questions for certifications and job interviews Therefore, this course is suitable not only for beginners new to databases but also for professionals and job seekers looking to strengthen their practical SQL skills.

Through a systematic curriculum of 40 lectures, you will learn everything from the basic theories of AI to the applied AI technologies of each algorithm. Through mathematical intuition and R coding algorithm learning and practice, you will develop immediately applicable AI model development capabilities, covering everything from designing algorithm models for data analysis, machine learning, and their application tools to selecting and utilizing them.

Practical Hadoop & Hive Big Data with LLM Hadoop Ecosystem with AI Tutor This course focuses on understanding the Hadoop Ecosystem, a core technology of the Big Data era, and provides hands-on learning on how to process large-scale data using Distributed Storage (HDFS), Distributed Processing (MapReduce), and Data Warehousing (Hive). The curriculum is designed to help you master the core technologies of big data processing step-by-step, from Hadoop's basic structure and operating principles to HDFS, YARN, MapReduce, and Hive. In particular, you will build practical skills applicable in the field by performing tasks ranging from setting up a virtual machine-based practice environment to actual data processing and analysis. Furthermore, this course goes beyond simple video lectures by providing a self-directed learning environment utilizing an LLM-based AI Tutor. Students can maximize their learning efficiency through the AI Tutor, which provides Q&A for Hadoop and Hive concepts, error troubleshooting, practice problem generation, HiveQL writing support, and project learning guides.

This is a process for completing IoT products without complex coding, using the Vibe Coding methodology powered by AI agents. You can experience the entire product development cycle in a condensed format—from embedded hardware control and AI vision recognition to PCB design, 3D printing, and web/app service development—allowing you to launch functional, commercial-grade IoT devices.

3D Globe Article Service with ThreeJS and SpringAI | Neo + Essential Create your own 3D globe article service using your personal chatbot and ThreeJS!

Based on the experience of wondering how facial recognition works in offline environments on-site, this course will guide you through building the basic structure of a facial recognition-based access and attendance management system using React + Electron and Python's FastAPI-based DeepFace. Rather than focusing on perfection, we focus on understanding the operating principles and laying the foundation for you to expand into your own personal projects.

In this course, we will practice step-by-step how to use React and FastAPI to implement social features such as real-time voting, comments, and likes, as well as how to monetize by integrating payment systems (Kakao Pay, Toss Pay, etc.).

Starting with the question, "If I were on the Titanic, would I have survived?", this course completes a full-stack project where you develop an AI model to predict survival probabilities based on real data and deploy it as a web service. You will gain hands-on experience in the entire process of AI and web development, from deep learning modeling using PyTorch to building a backend server with FastAPI and implementing a user interface with Next.js.

A full course on Next.js you can sink your teeth into! Complete a real-world project using the latest technologies such as GraphQL, Redis, RabbitMQ, Prisma, TailwindCSS, Docker Compose, Cypress, Prometheus, and Grafana, and experience both the App Router and Page Router.

In this 24-hour tutorial, you will learn how to build your own YouTube clone. We will cover advanced topics such as Next 15 and React 19 (including tRPC), prefetching in Server Components, utilizing Suspense in Client Components, video processing, background jobs, and AI features.

When you think of IoT (Internet of Things), the first thing that comes to mind is Raspberry Pi. We will cover everything from the basic installation process of Raspberry Pi to sensor control, building and utilizing various servers, and cloud connection.

New to React? You need to think about how to learn React's fundamental concepts solidly yet quickly. Start with Next.js and JavaScript with minimal knowledge. Let's develop by selecting only the essential examples needed for real-world development. The Todo example is so important that you should develop it twice. Once focusing on components, and then focusing on routing that handles browser paths! Use Zustand for login! You can handle global state with a really small amount of code.

Developing an AI Safety Report Service with React + Spring AI The 5th Neo + Essential project lecture is about building a Safety Report system, an idea for improving government systems!

This lecture provides a rough overview of backend basics with FastAPI, along with deploying to AWS using React.js, allowing you to quickly experience the actual deployment process.

This course is a full-stack level frontend project course that focuses on implementing Notion from start to finish using Vanilla JavaScript, going beyond simple UI cloning to deeply understand the internal operating principles. You'll implement all the core features of a real note-taking app using vanilla JS, including sidebar tree, nested document creation, auto-save, routing, trash, favorites, search modal, settings modal, theme switching, Export/Import, keyboard shortcuts, responsive layout, drag resize, and more. The goal is to solidly learn browser standard behaviors (event bubbling, DOM tree, local storage, Blob, FileReader, hash routing, etc.) that you must know before frameworks like React and Vue, so you can completely understand "why it works this way" and build the skills to debug effectively.

This is a course where you can learn FastAPI, which is easy and fast for modern full-stack and backend development, starting from backend concepts step by step to FastAPI core syntax and asynchronous database usage, organized with clean materials and projects.

Real-world practice is harsh. I will perfectly pass down my essence of optimization—designed to maintain a smooth user experience even in extreme environments where tens of thousands of real-time data points pour in—through a meticulous mission system. Go beyond simply being someone who writes code and leap forward into an irreplaceable senior engineer who orchestrates performance through the principles of the engine.

"Next.js Master Class: Part 3 - Completing Real-World Architecture" goes beyond tutorial-level projects that only run locally; it is a guide to designing "real production" architectures capable of handling massive traffic. It covers all the core technologies used in the industry, from flawless state synchronization combining TanStack Query and Zustand, to Turbopack-based bundle optimization under 100KB, advanced SEO injection, and building ironclad full-stack security networks using proxies and JWT sessions. I strongly recommend this course to those who want to overcome tedious hydration errors and CORS barriers on their own, moving beyond being a simple coder to becoming a "Senior Architect" who commands the entire frontend system.

Are you missing anomalies in complex manufacturing site data? I am sharing my know-how on how to accurately detect them using autoencoders with real-world IoT data.

★PYTHON★ This is a basic lecture on server development using Fast API. Learn how to develop servers easily, quickly, and conveniently using various packages such as Fast API, SQLAlchemy, Pydantic, and Starlette! Don't worry, we have prepared a DB backup file as well as integration with PostgreSQL! We will teach you the "basics" of UI design using Dash and Plotly and provide the source code used in the lecture :)

This introductory course for AI engineers is designed to provide a brief hands-on experience of the entire process, from data processing and model development to cloud, MLOps, and ethical considerations. It focuses on building practical skills by helping students understand the process of connecting models to actual services, rather than just creating them. The course includes hands-on exercises and examples so that even those learning AI for the first time can easily follow along.

--- Learning a skill is about reclaiming the options in your life --- In an era overflowing with digital content created by generative AI, what is your competitive edge? Data created by the Internet of Things (IoT), which connects AI with physical phenomena, will become your competitive advantage. This course connects sensor data to networks, giving you the sense that you are someone who can directly transform real-world problems into systems. This lecture will be helpful for the following people: - Digital content creators using sensor data collection, interpretation, processing, and AI model generation - Entrepreneurs and educational content developers utilizing sensor data

A portfolio-focused course on deploying a React frontend and Spring Boot backend directly to the AWS cloud! This course is helpful for those who want to quickly deploy frontend and backend projects for their portfolio. You will gain the necessary knowledge for deployment through short-term, step-by-step practice, covering everything from server configuration to Docker, domain connection, Nginx, and HTTPS application!