Git & GitHub Introduction: Hands-on learning for all developers

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

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

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

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.

This course covers work automation using MCP (Model Context Protocol) via diverse case studies: Playwright crawling, Figma design, Notion data organization, Excel data analysis.

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

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.

Through AI company reviews, we examine how AI technology will change our present and future through various cases. By examining the necessary elements for carrying out AI projects, we prepare for the upcoming AI Transformation.

Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.

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.

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.

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

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

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 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.

From personal projects to on-site development, learn Git and GitHub, essential technologies for team development, through illustrations. Everyone, from beginners to those curious about practical cases, can listen. Study using both CLI and GUI.

Let's learn how to use Git, which is difficult to learn, through SourceTree, an easy GUI program.

Is there any other language that is as difficult to set up as C++ in terms of development environment? I set up the development environment by following the information that is floating around, but why is it so difficult and complicated to build even once? Through this lecture, learn how to set up the C++ development environment easily anytime, anywhere, regardless of OS or platform!

In order to share with you the consulting/education/construction experience of DevOps specialist company Too Seed, we are introducing a lecture on Git Runbook. We will explain the overall contents from the structure of Git to the basic usage method and usage strategy.

How to easily set up git, VS Code, Node.js, Python, Java dev environments on Windows within 2 hours without struggling.

For those who have hesitated to adopt Git and Github for collaboration or have given up for various reasons, this introduces Git basics and the GitFlow branching strategy. It's structured to help you learn Git and Github tailored to the specific characteristics of Unity projects.

The essence of GitHub lies in Git. If you know how to manage projects with Git, you can collaborate smoothly. If you use Git well, you can also use GitHub well. In this course, you can learn Git's principles and key CLI commands to apply them in your work.

This is an in-depth git course to become the best web developer. Upon completion, you'll be able to penetrate the essence of git, learn in detail about git as an essential virtue for developers, and use it skillfully.

Everything you need to pass the GitHub certification exam! We provide Kind explanations that make complex concepts easy to understand, along with practice questions. Focus on frequently asked questions and key concepts to maximize your results in minimal time.