Python Backend for Beginners: An Introduction to FastAPI (From FastAPI to Asynchronous SQLAlchemy) [Full-Stack Part 1-2]

This course teaches the fundamental skills needed to learn the entire Python data analysis process for beginners in data analysis. As an e-commerce planner and developer who actively uses data analysis techniques in the field, I designed it to help you easily learn the full Python data analysis process and apply it right away.

Master intermediate-to-advanced SQL and build solid SQL data analysis skills by solving 101 real-world data analysis problems together.

This is a full-stack series aimed at beginners, with the goal of developing web and app services to a level that can be genuinely commercialized, based on real-world experience developing actual web services. As the first step (part1-1), this course provides an in-depth explanation of intermediate Python for full-scale development, backend implementation with Flask [플라스크], and essential web technologies such as HTTP, REST API, and the MVC pattern.

For those who want to learn data science, big data, and web scraping, (1) we summarize the most essential Python syntax in a short time, and (2) help you become familiar with Python and web scraping through practical scraping programming.

Through this course, you will learn about SQL and databases, SQL syntax, database design for practical use, how to use databases through programming, and real-world applications of data analysis.

A full-stack series course aimed at beginners, based on real-world experience developing actual web services, with the goal of building web and app services to a level suitable for actual commercialization. As Part 2 of this series, this course thoroughly covers the latest HTML5, CSS3, and Vanilla JavaScript (Javascript) + ES6, including responsiveness and compatibility, among the many available frontend technologies.

This is Part 1 of a roadmap course that neatly organizes, in a short amount of time, the essential computer science (CS) knowledge you need to excel at development and data. This course has also been used for years as an in-house course at top companies in Korea. Based on 20 years of experience in the field, ranging from systems software to web and app development and data science, this course systematically and thoroughly covers the core concepts you need to excel at development and data—while keeping them easy to understand.

Learn NoSQL technology for handling big data, one of the fundamental technologies used in the full-stack and data science fields at modern startups. MongoDB is one of the easiest NoSQL technologies to learn and use quickly. In this course, you will learn the basics of MongoDB in a short time, as well as how to work with and utilize MongoDB using Python.

This course has been newly designed to help you gradually learn the mathematics and theory needed to understand deep learning, PyTorch-based implementation, transfer learning, and the core GPT Transformer, based on the instructor’s experience of struggling when first learning deep learning.

Based on the instructor’s experience of struggling when first learning machine learning, this course has been newly designed—unlike conventional courses—to help you understand machine learning easily and apply it to real-world problems.

This course covers everything from the basics of Dart programming to Flutter’s fundamental and intermediate features, and even integrating the backend Firebase to build a real-world project! It is a comprehensive course that lets you learn Flutter step by step.

This course is Part 3 of the Full-Stack course series, designed to help you thoroughly master the latest server technologies and Docker. To enable you to genuinely incorporate Docker into your tech stack, the course meticulously tests Docker’s various options, covers related technologies such as Linux that you need to understand for Docker, and is structured so that you can even build complex real-world services.

This is a full-stack series aimed at beginners, with the goal of developing web and app services to a level that can be genuinely commercialized, based on real-world experience developing actual web services. As the first step (part1-1), this course provides an in-depth explanation of intermediate Python for full-scale development, backend implementation with Flask [플라스크], and essential web technologies such as HTTP, REST API, and the MVC pattern.

We will completely resolve the anxiety of those who felt frustrated by blindly copying AI-generated code without understanding the internal workings of HTTP or the causes of unexpected hanging.

Delving into Django's core concepts and key features in detail, from API development methods using DRF to deployment leveraging AWS, this covers everything about Django web development.

A smooth-flowing guide to Express.js, from basics to real-world application! A backend journey to truly master everything from basic server concepts to completing a CRUD project through hands-on implementation.

Through this lecture, even non-majors can fully understand the concepts and operating principles of the MVC module, which is the core of Spring.

Using the ChatGPT API, develop a full-stack multilingual translator web application in just 30 minutes, and even if you know nothing about AI, try incorporating the latest AI (ChatGPT API) into your product!

You can learn about the core functions of MySQL and how to effectively use them in your work. You can also gain a new understanding of important parts that you have been using for a long time and have overlooked, and gain in-depth database knowledge.

Learn Everything About Python from a Silicon Valley Software Engineer. Currently, as a 15-year veteran software developer, I handle everything from web applications, big data, and even SRE & DevOps, all with Python. From the basics of Python to advanced techniques, don't miss this opportunity to learn all the skills and know-how for using Python in real-world Silicon Valley practice!

This is a profit-oriented practical course where you will directly develop coin/stock automated trading systems and apply real-world trading strategies such as Grid, Moving Average, and Martingale. You will build 24-hour automated trading bots through practical trading exercises using Upbit, Binance, and Korea Investment & Securities (Kiwoom Securities) APIs, along with cloud deployment, while exploring real-world strategies for monetization. #Quant #Bitcoin #Algorithm #Investment #WealthManagement #AutomatedTrading #Bot #Agent #AI #OpenClaude #ClaudeCode

Everything you need to know about the basics and practical application of Python Django web development, only from Silicon Valley software engineers! Don't miss out on the opportunity to learn web programming using the Python-based Django framework!. To make it easy for even beginners to start web programming, you can also learn HTML and Bootstrap, so don't miss out on this great opportunity!

The Channels library is a real-time messaging library developed under the philosophy of Django. Quickly master the essence of Channels through this course.

This course aims to cover the latest Gemini API SDK (@google/genai) in a Node.js and TypeScript environment. You will learn how to use multimodal technology to process text, images, and video simultaneously. We will practice the entire process, from issuing an API key to project setup and model calling.

Have you wanted to implement RAG but felt overwhelmed by connecting everything from embeddings to vector storage and search? Based on real-world service development experience, this course explains the core concepts of pgvector and the service source code. By calling the API directly, you can quickly understand the entire flow of how RAG vector search works.

Are you feeling stuck with AI and payment integration, or production-level implementation? With know-how gained through countless trials and errors, I will help you complete a fully operational Voice AI SaaS. A simple demo is easy, but everyone gets stuck when trying to tie the entire cycle together—from upload and memo editing to credits, payments, and admin management. This course will guide you through that final stretch, putting a fully functioning voice-to-text product right into your hands.

You will learn how to develop data/machine learning web applications through 5 practical projects. You can easily and quickly build and deploy web applications with Python and Streamlit. (Updated in June 2025)

This is a practical, hands-on course where you will learn the principles of AI Agents—going beyond simple chatbots that just answer questions to systems that can perceive situations, make judgments, and control actual systems. The curriculum is structured to provide a step-by-step understanding, starting from the differences between AI Agents and chatbots to the core Agent Loop structure: Sense-Think-Act, state management, planning, and feedback loops. Moving beyond theory, you will set up Windows and Linux development environments and gain hands-on experience with the basic structure of Kubernetes and kubectl commands. Following this, you will implement a process where an AI Agent detects server issues, analyzes the causes, and automatically resolves errors. Finally, by directly analyzing the Python code and internal logic of the Agent controlling Kubernetes, you will understand how AI Agents connect to and operate within real-world systems. From developers new to AI Agents to those who want to design Multi-Agents that control actual systems, this course allows you to learn both the principles and the practical implementation process of Agents.

This course is designed for developers, AI enthusiasts, and professionals who want to develop real-world AI applications using LangChain, OpenAI, Hugging Face, and Python. Rather than focusing solely on theory, this course takes a practical, project-oriented approach. Throughout the course, students will directly build a total of 15 high-quality AI applications, including chatbots, CSV analysis tools, resume screening systems, invoice extraction bots, support assistants, marketing tools, and text-to-SQL applications. I created this course to make complex AI concepts easy to understand and to ensure modern LLM development is accessible to everyone. Many learners struggle to understand how tools like LangChain, embeddings, memory systems, vector databases, and AI agents interact in real-world applications. This course guides you step-by-step through clear explanations, hands-on coding sessions, and actual implementation workflows. By the end of the course, students will confidently understand how to design, build, and deploy AI-powered applications using the latest generative AI technologies.

Build a fully functional smart farm platform that integrates sensor data collection, MQTT communication, web dashboards, and AI-driven environmental analysis. Experience the entire process of agricultural digital transformation (DX) through a hands-on project, covering everything from IoT sensor integration and FastAPI/Spring-based API servers to React/Vue dashboard development and cloud deployment.

This is a process for completing IoT products without complex coding, using the Vibe Coding methodology powered by AI agents. You can experience the entire product development cycle in a condensed format—from embedded hardware control and AI vision recognition to PCB design, 3D printing, and web/app service development—allowing you to launch functional, commercial-grade IoT devices.

You can learn about the core functions of MySQL and how to effectively use them in your work. You can also gain a new understanding of important parts that you have been using for a long time and have overlooked, and gain in-depth database knowledge.