Generative AI with Python: Build Text & Image Creators

A course chosen by 3,000 students! Updated to GPT-5 version! How far can you go with ChatGPT? Create automated stock trading applications and web investment reports!

This course not only expands your ideas on blog management by creating a Python-based automated posting program for CPA affiliate marketing on WordPress but also allows you to perfectly master practical Python through real-world application rather than just theory.

Building a Full-Stack System Without Coding: Complete the entire pipeline from data collection to AI/ML analysis and web dashboards using only Korean prompts (Vibe Coding). Owning a 100% Automated Pipeline: Secure an independent stock analysis tool that sends S&P 500 screening and investment opinions via Telegram every morning. Acquiring a Practical Data-Based Investment Framework: Master institutional-level data analysis and risk management capabilities based on source code currently in actual operation.

Create a program using the GPT API, and even generate images and videos!

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

Hello, I'm Woney. I specialize in one thing only: developing TradingView indicators. I believe that what's more important than "looking pretty" is having clear rules that don't waver in real trading, stable operation, and handling exceptional situations. [Indicators I Create] - Condition-based signals/alerts (alarms) - Entry/exit assistance, trend/volatility/volume-based filters - Guards to prevent over-entry/risk management (can be made optional) - Chart readability improvements (labels/lines/status windows/tables, etc.) [Development Process] 1) You provide your desired conditions "in words" → I structure them into indicator rules. 2) To avoid confusion on the chart → I organize the display methods (labels/lines/tables) together. 3) I proactively check for potential issues in real trading (duplicate signals, exceptional periods, etc.) and implement them stably. [Recommended For] - Those who have desired conditions but find implementation difficult - Those who need filters/refinement because they have too many or too few signals - Those who need readable indicators that users can understand immediately

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.

Chatgpt is a program that reads and comments on posts written by my neighbors Lesson on developing marketing automation and neighbor management programs

Solve the point where 80% get stuck at makeathons. Complete Raspberry Pi · Computer Vision · LLM · 3D Design in 4 weeks! Achieve top rankings at makeathons with a demonstrable smart mirror PoC!

Have you been spending money every time on game image assets, art resources, and personal hobby drawings? In this era where generative AI is flooding in like a wave!! We offer you the experience of creating the exact images you want yourself. Seize the opportunity to 'directly' generate images based on your own local computer through Stable Diffusion!

During the Gold Rush, it was said that it was easier to become rich by selling gold mining tools than by mining gold yourself. How about selling programs in the ChatGPT Age of Exploration?

This course conducts hands-on practice related to Diffusion models among generative artificial intelligence models. By reading and implementing the prompt-to-prompt paper, which is a representative Diffusion model application paper, we expect to cultivate the ability to understand the latest artificial intelligence papers.

Learn deep learning through PyTorch. Ultimately, the course covers image classification.

Building an MVP with AI is no longer difficult. However, most projects stop at the next stage. 👉 You’ve built the features 👉 But development doesn't continue Why does this happen? The problem isn't the code; 👉 It's because there is no structure that allows AI to work continuously. --- In this course, based on an existing project, 👉 We will cover the process of building a structure 👉 That allows AI to continue development on its own. --- Instead of simply using AI tools, we will: * Create a docs structure * Define the SSOT (Single Source of Truth) * Execute development on a per-ticket basis * Connect QA and iteration cycles 👉 To complete a single "AI Development System." --- Through this process, you will: 👉 Create a structure where development continues 👉 Even without a human manually coding. In other words, you can: 👉 Build and understand a development system 👉 That operates AI like a team. --- This course is designed for: 👉 Those who want to build a structure applicable to their projects immediately 👉 Those who started development with AI but found it difficult to sustain 👉 Those who want to move to the next level after "Vibe Coding" --- Beyond just learning, we provide an experience where you: 👉 Take action 👉 Build a structure that actually works 👉 And walk away with a framework you can apply to your own projects.

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!

An introductory course that covers the core of LLMs, Agents, and RAG using LangChain v1.0+'s simplified API and free LLMs (Gemini · Groq · Ollama), all without the burden of credit card registration.

A Complete End-to-End Developer Journey — Build Lightning-Fast APIs, Modern Frontend Interfaces, Real Projects, Authentication Systems, Dashboards & Full Deployments Using FastAPI, React, and Vibe Coding Techniques.

You can learn how to install Stable Diffusion and use basic extensions, as well as master the fundamental usage of ControlNet. +Jan 26 Update -> ComfyUI basic installation and application update -> Introduction to AnimateDiff update +Feb~Mar 26 Update -> AnimateDiff Upscale -> Introduction to Frame Interpolation usage -> ComfyUI 8k image and video upscaling methods update -> How to use Z-image-turbo and OSTRIS LoRA training toolkit all at once on RunPod (Template introduction and usage) update

This is a course on building your own stock and cryptocurrency automated trading programs using ChatGPT, even without prior coding knowledge. You will gain both AI development skills and financial investment knowledge through hands-on practice covering the entire process, from data collection to predictive model development, stock recommendation systems, and actual automated trading.

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