[Renewed] Introduction to Python Backend and Web Technologies for Beginners (Intermediate Python, Understanding Backend and Web Technology Fundamentals with Flask) [Full-Stack Part 1-1]

A FastAPI course for modern full-stack and backend development that is easy to use and delivers high performance. It covers backend concepts step by step, the core syntax of FastAPI, and asynchronous database usage, all organized clearly through well-structured materials and projects.

Practice REST API and GraphQL while creating a simple SNS service based on React. We introduce how to easily and simply create a backend environment for frontend development.

★PYTHON★ This is a basic lecture on server development using Fast API. Learn how to develop servers easily, quickly, and conveniently using various packages such as Fast API, SQLAlchemy, Pydantic, and Starlette! Don't worry, we have prepared a DB backup file as well as integration with PostgreSQL! We will teach you the "basics" of UI design using Dash and Plotly and provide the source code used in the lecture :)

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!

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.

Solidify your foundation in Python/Django web service development. Learning Django takes time, but you can maximize your productivity through iterative development. Turn your imagination into reality.

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.

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.

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!

This course covers the overall aspects of web servers required for game development, using the latest ASP.NET Core (Blazor, WebAPI).

Learn Springboot + iOS RestAPI Board Creation Faster Than Anyone Develop a CRUD server with Springboot and create your own board with iOS!!

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.

Build an AI agent directly with Python and a single while loop, without a framework. Add tool design, failures and costs, memory, human approval, evaluation, and a web interface one at a time, and ultimately complete a small coding agent that fixes its own failing tests.

Theory alone is not enough to automate your work. Complete a MongoDB–Streamlit project based on practical experience.

Document writing is the most challenging part for both aspiring and current developers! Create your own portfolio by looking at how successful candidates write their documents! We speak based only on documents that actually passed!

Hashing, salting, JWT, symmetric and asymmetric keys, and even HTTPS and TLS. The backbone of security that we use every day yet always found vague and unsettling. If we have to face the countless neglected threats and technical debt someday, let’s properly tackle them once and for all this time.

This course proceeds with Python theory and practical sessions that even non-majors can easily understand. This is the first step in the overall roadmap built for application development - the Python programming introduction course. [Complete-Roadmap] Python Basics->Advanced Python->Automated Trading-Backtest Development->Automated Trading-Real-time Development->Automated Trading-LLM Application

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

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.