[Python beginner] ChatGPT voice translation app made with Flutter

You can easily learn how to collect and process data using Excel's Power Query feature, even if you don't know coding. You will learn Excel crawling skills by practicing the project below together.

You can create a GUI program with Python.

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

Build both iOS and Android apps with just one code! Flutter beginner course by Code Factory! Build a solid foundation with detailed theory and exciting projects!

I hope that through this lecture, you will gain at least one piece of knowledge that you didn't know before and become a better Flutter app developer than the "me" of yesterday.

Learn to implement Telegram, Slack, KakaoTalk, and Discord bots with Python, exploring each service's features via various examples.

We will directly build a real-world trading bot that runs automatically 24/7, utilizing GPT and Bitget API. Based on direct work experience as a key individual at a major exchange, I will also pass on hidden insights and practical tips that developers who only focus on coding are often unaware of.

Learn Qt and Python programming skills through real-world projects. This course will help you grow from beginner to intermediate level by learning the latest Qt and Python programming trends and techniques.

This is an introductory course on building an app with FlutterFlow, the world's #1 no-code app builder! 🤗 You'll naturally pick up concepts as we build a Twitter clone... so it'll be easy and fun! 🥳

LLM: A pro quickly delivers core content, from essentials to practical tips!

What to Expect from This Course Welcome to LangGraph in Action, your ultimate guide to mastering the design and deployment of advanced AI agents using LangGraph. In this course, you’ll explore the fundamentals of building modular, scalable, and production-ready agents, all with a hands-on approach. From understanding the basics of LangGraph’s state-based design to creating a full-stack application, you’ll gain the skills needed to bring AI agents to life. Course Highlights State-Based Design: Dive into LangGraph’s core philosophy of nodes and edges to create structured, maintainable agents. Memory Management: Explore short-term memory with checkpointers and long-term memory with the Store object to enable agents that adapt and learn. Advanced Workflows: Build human-in-the-loop systems, implement parallel execution, and master multi-agent patterns. Production-Ready Development: Learn asynchronous operations, subgraphs, and create full-stack applications using FastAPI and Docker. By the end of the course, you’ll not only have a strong theoretical understanding but also the practical skills to deploy AI agents anywhere, entirely with open-source tools. Whether you're a developer aiming to stay ahead of the curve or a seasoned engineer looking to expand your AI toolkit, this course equips you for the rapidly growing field of AI agents. With the increasing adoption of AI agents in real-world applications, this course ensures you're prepared to design, build, and deploy advanced systems that solve practical challenges. Let’s start building and shaping the future of AI together!

Qt is a powerful framework that provides not only GUI but also various functions such as network, database, multimedia, IPC, etc., so you can easily and quickly develop applications in various fields with Python. In this lecture, we will learn how to effectively utilize Qt in Python through various examples starting from the basics of Qt.

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.

A course that will teach you how to create a website with ChatGPT and take charge of its distribution! Learn even fine-tuning.

No coding knowledge needed! Turn your idea into real revenue in just 4 weeks. Using AI and the latest tools, create both a website and app simultaneously and connect them directly to services.

During our school days, the 'click' sound we heard in the computer lab... that was Minesweeper. In this course, we'll recreate those memories by implementing it with Python. Whether you're a beginner or even someone encountering Python for the first time, by following along line by line, you'll find that your very own Minesweeper game has been completed before you know it.

This is a profit-focused practical course where you develop a grid trading strategy coin automated trading system and apply it to real trading. It covers practical trading practice using the Upbit API and creating a 24-hour automated trading bot through cloud deployment, while explaining box range practical strategies.

New to Flutter? A Flutter Contributor will guide you step-by-step! Start Flutter dev with an AI project using Gemini.

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

Automate YouTube Shorts Creation with AI!! Learn from scratch how to automatically create YouTube Shorts using n8n. Build a complete workflow that goes from text→images/music→video creation→upload all in one flow. Practice with test mode/production mode separation and cost-saving tips. Complete 3 ready-to-use automation templates by the end of the course. Learn step-by-step from node placement, even if you don't know coding. Let's automate AI YouTube Shorts production together!