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.

Through this course, students can recognize the field of Video Understanding in artificial intelligence computer vision, train, evaluate, and test models in the field of Event Detection, and improve the performance of models by improving the existing network structure, and get a taste of 'researching artificial intelligence'.

Are you interested in AI but tired of always hearing the same lectures? This is a hands-on project that will teach you how to generate and estimate 3D poses from human images and videos, run real code, and build your own data from images.

Hot image generation model! Let's understand it by implementing it from the basics! Let's implement AUTO ENCODER / VAE / GAN / DIFFUSION together!

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.

Here are some key competencies that are often overlooked by others in the fiercely competitive and complex semiconductor process job market.

Trying to get a job, but it's not easy, is it? I, a liberal arts non-major and academy graduate, will share the 'effective portfolio' that I personally struggled for 'n' months to widely open the door to employment.

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

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.

A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.

This article explains how to develop an AI web service using the API from OpenAI.

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.

Python Programming Basic Hands-on Lecture taught by a professional Data Scientist! In this lecture, chosen by over 5,000 cumulative students, you can master Python from basics to practical application, step by step, with Selena. Living in the era of generative AI and LLM, the essential language you must learn is Python. This is a verified lecture that received 5 out of 5 stars based on high student satisfaction, and an unlimited Q&A open chat room is also provided where you can ask questions and communicate anytime while taking the course.

We create an AI judge by combining CrewAI, facilitating LLM-based multi-agent technology, with knowledge graphs and inference systems.

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

This course is a step-by-step learning process that covers the principles of image and object recognition using deep learning, from fundamentals to the latest models. - Building Foundations: Understanding tensors and basic neural network structures with PyTorch - Understanding Images: Learning computer vision concepts, image data structures, and augmentation techniques - CNN Model Training: Hands-on image classification practice with Convolutional Neural Networks (CNN) using datasets like CIFAR-10 - Transfer Learning: Leveraging pre-trained models to achieve fast learning with limited data - Object Detection: Understanding and practicing with the latest object detection models including R-CNN, YOLO, SSD, DETR - Segmentation: Experiencing pixel-level object segmentation through U-Net and Mask R-CNN

Do you still code directly these days? It's now an era where even vibe coding is bothersome! Become an AI automation expert with n8n, without coding. An automation workflow design guide immediately applicable to practical work. Practice-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience business innovation.

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

Learn LangChain's basic concepts and usage with Python. Hands-on practice will be conducted primarily in a Google Colab (colab) environment, with materials provided via Github.