[Application] Creating a PyTorch Deep Learning Model: Utilizing Artificial Neural Networks

Many Python learners understand basic syntax but struggle because they lack the algorithmic thinking and implementation skills needed to solve real-world problems. In this course, you will learn by directly implementing 12 core algorithms frequently used in development and data processing using Python. We have structured the course to go beyond simple theoretical explanations, allowing you to gain a deep understanding of how algorithms work through actual coding and debugging processes. The course provides step-by-step explanations of algorithms that frequently appear in practical work and problem-solving—such as sum, average, max/min, sorting, searching, merging, and mode—and guides you through implementing them in Python code. If you are a learner aiming to become a Python developer or data analyst, you can simultaneously improve your algorithmic thinking and code implementation skills.

Python Course for Programming Beginners! Python certification (PCEP, PCAP) ready, based on Python Institute's curriculum! How to utilize ChatGPT with Python is a bonus!

This course is designed to cover the grammar of multi-threading, multi-processing, parallelism, and concurrency based on OS knowledge in preparation for technical interviews. You will learn basic knowledge about how to increase execution efficiency with multiple resources.

Easy and fun Python story from a professional instructor! For beginners, we will proceed with the lecture step by step. We will provide opportunities to learn through sufficient repetition. It will be a solid stepping stone for those who are learning Python for the first time.

This course covers basic natural language processing techniques and various text tasks using deep learning.

Learn MLP, CNN, and RNN, the basic framework of deep learning, quickly and easily.

This course focuses on developing immediately applicable visualization skills by utilizing Seaborn, a core tool for data visualization, and Plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can simultaneously improve your ability to create insight-driven visual materials and implement web-based dashboards.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

Learn how to build deep learning models directly through intuitive and Pythonic PyTorch. This reflects the latest PyTorch version.

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.

You will learn techniques that can be applied in various fields of IT security, starting from the introduction to Python programming.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

You can easily and enjoyably understand Python programming with games. This is a lecture that even children in elementary and middle school can follow, so parents and teachers will find many places to use it if they learn it. :)

This is a lecture covering LLM theory and practical examples based on <Large Language Models, Just the Essentials!> (Insight, 2025).

This course focuses on developing immediately applicable visualization skills by utilizing Seaborn, a core tool for data visualization, and Plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can simultaneously improve your ability to create insight-driven visual materials and implement web-based dashboards.

This course is an introductory program designed so that learners who are new to AI technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and conduct hands-on practice directly generating images using various AI tools. Upon completing this course, you will become much closer to AI and acquire the capability to create AI images that can visually implement creative ideas.

Natural Language Processing (NLP) is one of the fastest growing areas of artificial intelligence. This course covers a wide range of topics, from the basics of NLP to the latest NLP techniques using deep learning. In particular, it provides an in-depth understanding of cutting-edge generative models such as ChatGPT.

Even office workers who know nothing about coding can easily learn the basic concepts and grammar of programming through practice, and learn file input/output, Excel data processing, automatic creation of MS-Word documents, graph drawing, web scraping, etc.

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

From core theories of deep learning and CNN to various CNN model implementation methods, and practical deep learning development know-how through real-world problems, If you want to become a deep learning CNN technology expert based on Pytorch, join us in this lecture :)