Building OCR that actually works in real-world scenarios, here's how to do it.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

By the end of this course, you will be able to implement Apache Spark projects in your organization.

This lecture covers RAG (Retrieval-Augmented Generation) system fundamentals and implementation using LangChain. Participants will understand RAG's core principles and learn to build and evaluate systems using LangChain.

Master prompt engineering perfectly, an essential skill for developers in the AI era.

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.

No more object detection! Learn the latest trends in pose estimation, the latest methods for estimating poses from images and videos, and learn deep learning techniques to train and utilize 2D pose estimation models from your own videos.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

This is a lecture that studies Vision Transformer, one of the latest deep learning technologies, and implements a paper using Pytorch. Come experience the new future of the vision field with me!

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!

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.

AI proficiency determines your salary. Leave those tedious repetitive tasks to AI 'Almost Everything About Work Automation' teaches you how to create automation systems that handle your work with just a few clicks, no coding knowledge required. You'll be freed from boring document work and data organization, and transform into an 'AI work expert' who stays ahead of others.

This course focuses on developing practical visualization skills that can be immediately applied in the workplace by utilizing Seaborn, a core tool for data visualization, and plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can enhance both your ability to create insight-driven visual materials and implement web-based dashboards.

Let's create a web app that uploads an image and uses OpenCV to process it and detect faces.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

Even non-majors can easily complete the 【Data Analysis-Tailored Basic Python】 course! Learn the basics of ChatGPT utilization together to create a 『starting point』 for data analysis and AI utilization. From essential prerequisites for data analysis, learning in a customized way from a 『Data Analysis Instructor』 allows you to build deep fundamentals while learning quickly, instills the courage and confidence needed for coding learning, and even suggests future directions for data analysis learning.

Explaining how to connect to a Python-based AI web server using FastAPI from a Spring Boot project.

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.

AI writes on my Slack and Notion for me? Work smarter with MCP that surpasses the limitations of existing AI!

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

Learn how to build a real-time fire detection system using Next.js, YOLOv11, and FastAPI.