Learn LLM and GPT Basics in 1 Hour

The goal is to learn complex GPT API and Python in the easiest and most hands-on way possible. Using the latest ChatGPT API, we'll develop a YouTube video summarization AI and implement it as a web application using Streamlit.

Learn Python's core syntax systematically, covering step-by-step from the basics that programming beginners must know to object-oriented programming and exception handling.

If you invest 3 hours a day for 6 days, you can learn the basics of deep learning using PyTorch. Let's get started!

Now is truly an era where anyone can create their own service in just one day. While the previous Vibe Coding workshop focused on directly experiencing what Vibe Coding is all about and aimed for everyone to complete and deploy the front-end (visible pages) of the service they wanted to create, this workshop goes beyond simply creating a visible service. It places significant emphasis on a development approach that involves concretely imagining actual users and focusing on 'who will use this service and why.' Through the workshop, participants will naturally learn how to clearly define their target users and the problems to solve while creating their own services. It's perfectly fine if you're new to Vibe Coding! Even if you don't know coding or development, it's more than enough! Rather than simply following along, experience creating a truly usable service yourself in this workshop!

Now is truly the era of Generative AI! Beyond just using the latest tech, gain the knowledge and experience to grasp its core principles and apply Generative AI to your daily life!

This course will teach you the concept of the Google Gemini model and how to use the Gemini API, and create various AI applications using Streamlit.

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.

Describes the need for LLM, its technical background, and basic concepts.

JavaScript, which is known to all web developers, now explore the world of machine learning with this powerful language! This course learns how to build and deploy machine learning models using JavaScript and the powerful machine learning library Tensorflow.js. It guides you step-by-step through all the technologies required to develop web-based machine learning applications. Through this course, learners will systematically understand the core principles of machine learning. In addition, you will learn how to develop deep learning models using JavaScript and Tensorflow.js APIs, how to utilize transfer learning based on pre-trained models, and how to apply all this knowledge interactively in a browser environment.

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

This course is designed to learn the fundamental theories and practical processes necessary for applying AI modeling and service planning to real-world work environments. Learners can acquire essential foundational knowledge to skillfully perform AI modeling projects and experience various practical procedures used in actual business settings. The course is specifically structured to provide step-by-step learning of the entire workflow from AI service environment analysis → goal setting → requirements analysis → service model design → scenario planning → utilization planning → execution plan development → performance evaluation planning. Through this approach, learners can develop systematic thinking and practical application skills for how to introduce and utilize AI from business and service planning perspectives, rather than limiting themselves to purely technical learning. Upon completing this course, learners will understand the overall planning and execution process of AI projects and will be able to strengthen their capabilities as AI service planners, PMs, and data-driven strategists in actual corporate environments.

Explains the basic principles of large language models like ChatGPT, focusing on theory.

This course is a practical pre-training program designed to help you quickly complete the core technologies needed for **smart mirror** production in the form of "pre-missions." Rather than simple feature explanations, it aims to reach a level where you can immediately create an integrated demo (PoC) in the field. The course requires completion of the following 4 components: LLM API-based conversational response module Including role separation (system/user), conversation history maintenance, retry/timeout, and log handling, you'll learn patterns for creating short, card-style summary responses suitable for smart mirrors. Face recognition + filter application with MediaPipe FaceMesh Extract facial landmark coordinates and implement a PoC that tracks visual filters like sunglasses/masks/stickers in real-time. Raspberry Pi ↔ Arduino serial communication (Python) Transmit Arduino sensor values via serial and perform reception, parsing, and error handling on Raspberry Pi using Python (pyserial) to first complete the system backbone of "sensor → Pi → (UI/storage)" flow. Smart mirror frame/hardware 3D modeling Considering display, Pi, power supply, cables/heat dissipation, complete an assemblable frame (front/back, brackets/screw holes, etc.) as STEP/STL deliverables. Additionally, optional sections allow expansion based on team capabilities, connecting step-by-step: Weather data input on Pi, Firebase/Supabase DB integration, Responsive web UI (mobile/desktop), AWS deployment basics. As a result, upon completing the course, students will have not just "individual technology pieces," but an integrated portfolio (AI response + face recognition + sensor communication + hardware design) ready for immediate demonstration at makerthons.

A course that will teach you how to create a website with ChatGPT and take charge of its distribution! Learn even fine-tuning.

This course starts with the question "If I had been on the Titanic, could I have survived?" and completes a full-stack project that develops an AI model to predict survival probability based on actual data and serves it as a web service. You'll practice the entire process of AI and web development, from deep learning modeling using PyTorch, building a backend server with FastAPI, to implementing a user interface with Next.js.

Create a program using the GPT API and even generate images and videos!

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

Understand the basic concepts and latest trends of big data, and through technical understanding of big data analysis techniques, extract data patterns to present methods for business application. Through big data, you can create new businesses and develop insights into future business environments.

Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!

Chatgpt is a program that reads and comments on posts written by my neighbors Lesson on developing marketing automation and neighbor management programs

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.

AI Work Automation + Side Income Generation with Just One Click!!! Make, the ultimate work automation tool - have you been hesitating to start due to its complex settings and features? Build the automation you've been dreaming of with step-by-step lectures that even beginners can easily follow.