Creating an AI Portfolio - Airbnb Clone Project

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

Non-Majors Welcome: Real-World Vibe Coding Projects Created Through Conversations with AI

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.

This course teaches you how to implement deep learning papers by implementing the U-Net paper from scratch using TensorFlow 2.0.

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.

Learn how to utilize various local LLMs (Qwen, Gemma) and explore different techniques to efficiently evaluate and improve the performance of LLM systems.

This lecture teaches various business automation methods using ChatGPT (Excel, PPT, crawling, image processing) and Python basics for business automation. Experience in advance the changed future that ChatGPT will create.

This course will teach you the core theories of deep learning and how to implement deep learning code using the latest TensorFlow 2.0.

This course teaches you how to implement deep learning papers by implementing the YOLO (You Only Look Once) paper from scratch using TensorFlow 2.0.

From the basics of deep learning natural language processing to the latest models such as Transformer and BERT, learn the principles and utilization methods of deep learning natural language processing (NLP) through various examples and practical code implementations.

Learn the basics of machine learning step by step through various Kaggle examples, and learn vivid project experiences and practical tips from hard-to-access field machine learning engineers all at once.

AI Agent: A total integration of the latest AI technology! Implement various AI agents and learn to build your own AI agent using LangGraph.

This lecture covers building practical RAG (Retrieval-Augmented Generation) systems while developing an AI customer service chatbot (AICC).

I'm learning how to build practical AI agents using LangGraph while working on various AI agent implementation projects using LangGraph.

This is a course to learn the concepts and usage methods of the LangChain library, and to build your own ChatGPT using the LangChain library.

This is a lecture where you build your own MCP server using Cursor and experience vibe coding, which embodies the future of developers.

This is a lecture on creating an automatic stock trading bot using the IBK Investment & Securities Xing API. Create your own automatic stock trading bot that trades automatically 365 days a year.

A course to learn website crawling methods using ChatGPT. Get a preview of the transformed future ChatGPT will create.

This course covers data analysis using ChatGPT and Pandas utilization. Get a preview of the changed future ChatGPT will create.

A course to learn deep learning paper implementation skills, implementing the GPT-1 (Improving Language Understanding by Generative Pre-Training) paper from scratch with TensorFlow 2.0.

This is an all-in-one course where you can learn the entire process from the basics of deep learning, TensorFlow, and computer vision to practical applications through a real-world license plate recognition project. Through various hands-on exercises, you can develop the practical skills to apply the latest deep learning models to custom datasets.

Provides tips for creating a resume that will stand out to interviewers. Provides guidelines for a good portfolio through job postings.

Easy, Usable Computer Vision Projects: Step-by-step learning of practical CV projects. Boost skill with real examples.

This course teaches you how to perform Object Detection using the latest high-performance deep learning model using the TensorFlow Object Detection API through simple Colab exercises, and learns the principles of the latest deep learning Object Detection models.

I've prepared a lecture offering job transition knowledge and a resume/portfolio writing guide for Planners and POs who need to prepare for a career change. This is recommended for the following individuals: - Those who need to prepare for a job change but don't know how to start. - Those struggling because they're completely unfamiliar with the concept and structure of resume/portfolio writing. - Those who don't know what points to highlight about themselves.

This course provides step-by-step instruction on the web planning procedures for large-scale projects, covering everything from A to Z—including RFP analysis, interface definition, integrated design, test execution, and stabilization—which are essential competencies for web planners in SI and next-generation projects.

What does a portfolio that demonstrates problem-solving skills look like? Are you curious about ideas for creating a portfolio easily and quickly without much effort? You can learn more through real-life examples such as Younghwa's portfolio and student case studies.

This is a newly designed course that allows you to gradually learn the mathematics, theory, PyTorch-based implementation, transfer learning, and GPT's core transformer needed to understand deep learning, based on the instructor's own failed experiences when first learning deep learning.

Web planners and PLs/PMs can quickly create high-quality deliverables.

We will inform you of a career expansion roadmap to grow as a web planner in Korea and reach the top as a next-generation SI web planning PL.

[2026 Latest Edition] Discover everything from essential practical skills to job-hunting know-how for entry-level to junior content marketers!

AI Artificial Intelligence, it goes without saying that mobile is the trend. But how do you learn machine learning and deep learning and use them on mobile? Now, let's learn useful mobile Computer Vision projects that are used in daily life.

This course is a specialized program that covers practical application strategies for utilizing artificial intelligence (AI) in the construction and civil engineering fields. In the construction industry where digital transformation is accelerating, AI is driving innovation across design, construction, safety, and quality management. This course focuses on learning practical application cases that can be utilized in actual field sites, including smart construction, digital twins, AI-based equipment control, safety monitoring, and quality verification.

This is a [Backend, Resume Enhancement] class prepared for job seekers and junior developers.

We've included videos and PDFs on UX and portfolio creation, which are essential skills for getting a job as a designer at an IT company.

We've collected designer portfolio materials, videos, and frequently asked questions related to portfolios that Movie Nim and Kiki Nim previously released for free.

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.

When researching AI or conducting a project using it, basic paper implementation is essential. Let's upgrade our practical skills by implementing an actual paper through this lecture!

A blog of your own that everyone dreams of! Not just another common blog you see everywhere, but a differentiated blog that you create and manage yourself! Try it now with a Github blog!