The Magic of 5 Lines of Code, 5-Line Machine Learning PyCaret: Adding AutoML Wings to Data Analysis Projects

Want to take your code to the next level? 🚀 For beginner developers, I've prepared the 'Python Design Patterns' 📖 course. Complex design know-how is made easy to understand with practical examples. In this course, you'll learn these things: 💼 **Practical Example-centric**: Real-world examples you can apply immediately 📚 **Mastering Classic Patterns**: Master GoF's core patterns 🐍 **Pythonic Tips**: How to write more concise and efficient code It will boost your confidence in code design! ✨

Backend Entry Worry: Over! From HTTP, API, DB basics to the latest tech (MSA, Docker, Cloud)! Backend development knowledge learned easily and systematically!

The complete guide to building modern backend APIs with FastAPI! 🚀 This course systematically covers everything from FastAPI basics, Pydantic data validation, DB integration using SQLAlchemy, to Alembic migrations. Through a practical ToDo project, implement JWT authentication/authorization security, and experience asynchronous processing and performance optimization. Finally, through Docker containerization and AWS deployment practice, with just this one course, you can grow into a backend developer ready for immediate practical deployment!

You've all had the painful experience of managing requirements.txt, right? 😅 Now solve dependency issues cleanly with the latest Poetry 2.x. This course proceeds by building a FastAPI practical project from start to finish. It covers the real-world workflow including development environment, CI/CD, and Docker deployment. Reduce environment setup worries and build professional Python development skills! 👍

Stop using print()! Learn easy and powerful logging with Python's loguru library. From basic concepts to file management, FastAPI web app integration and Slack notifications, we'll teach you step by step with hands-on practice.

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.

Simply by entering a US company ticker, this system automatically collects financial accounting data, competitor analysis, recent news, and stock price information, then performs in-depth analysis using the OpenAI GPT API to generate professional investment reports. The final results are automatically uploaded to Notion. By learning fundamental financial accounting concepts and terminology, even engineers can utilize this for competitor benchmarking, persuading supervisors, and planning new solutions. Build high-performance API servers with Python and FastAPI while learning asynchronous programming, AI integration, and practical fintech skills. Even beginners can easily follow along to complete a system applicable to real investment and business scenarios, helping them grow into developers suited for the AI era.

"Are you still studying with coding books?" A course, rated 5.0/5.0 by MBA and business undergrads at a London management university. You can take AI data analysis lectures from home. Even for humanities-background non-majors: practical data analysis skills immediately usable in the field, plus a data analysis portfolio for job search completion. I am a British Professor (British Professor) teaching data analysis and project classes with ChatGPT, no coding knowledge required.

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!

The first publicly released ChatGPT open source GPT-OSS - Get a taste of it faster than anyone else. Learn what GPT-OSS is and run it locally to create an overwhelming advantage with GPT-OSS faster than anyone else!

Stop using print()! Learn easy and powerful logging with Python's loguru library. From basic concepts to file management, FastAPI web app integration and Slack notifications, we'll teach you step by step with hands-on practice.

I created 3 services in 3 months conversing with AI. Without needing developers or coding, build practical web services with AI.

This is a machine learning and deep learning project preparation course that uses Python to process Boston Marathon big data into the desired format and uses various charts and technologies to create valuable information.

From the basics of machine learning & deep learning! Creating and utilizing classification/regression/clustering/artificial neural networks with Python

Stop worrying about the dev team - I'll build it myself now! This course helps professionals in planning, marketing, sales, and other practical roles implement core web service features on their own using AI tools, without needing developer assistance.

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

You don't need to know any coding at all. In just half a day of studying VIBE Coding, you'll be able to create programs without writing any code. Let's learn the latest AI coding methods by directly creating 10 step-by-step examples such as web scraping, TTS, chatbots, and games.

You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.

In an era where AI writes code for you, will you remain a 'Coder' or leap forward to become an 'Architect'? This course is designed for junior developers who can handle basic implementation but feel stuck about the next steps or are anxious about falling into the trap of 'fake experience'. We aim to go beyond simply learning clean architecture theory and turn Robert C. Martin's (Uncle Bob) high-level design principles into weapons for the AI era.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.

No more AI courses filled with just theory. A current CEO who won the KT AI Excellence Award will teach you everything from text to video and game creation - 'practical secrets you can learn today and see results tomorrow.' Achieved 16.4 million won in Wadiz funding! The course that hundreds were enthusiastic about. We'll spoon-feed you the 'real practical' generative AI cheat codes that even non-majors can use to create web novels and videos right away. From planning to high-quality video production, learn how to finish with AI in a snap what would take a week if you hired an expert. We reveal the fastest route to creating results without trial and error.

From work productivity to monetization, we'll teach you everything about AI agent development that you can apply directly to real-world tasks. Become an "AI Agent Development Expert" by directly developing 7 agents based on technologies including n8n, CrewAI, LangGraph, Google ADK, multi-agent orchestration, RAG, multimodal, MCP, A2A, and more.

< WE CAN Cursor AI ALL-IN-ONE Master Class > ZERO coding knowledge OK! #Smart Coding Journey with AI #New Growth Story Every Week #Your Personal AI Development Partner #Non-Devs_OK #AICoding #CursorAI #Coding_Newbies

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. We will practice creating a stable operating environment, covering Contabo VPS-based server installation, Ubuntu/Docker/Portainer environment setup, domain connection, and HTTPS security configuration. The course covers Search API and file server development using FastAPI and Docker, Airtable and n8n integration, building blog AI agents, and image/video automation. You will be able to complete a profit-generating automation strategy that can be immediately applied to actual service operations.

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