The World's Easiest Python Development Class Using Generative AI

AI will not replace people. However, "you, who utilize AI" will replace everyone who does not.

The era of creating designs one by one is over. Experience the speed of turning "thoughts" into "results" with Canva AI.

From a single email to proposals and presentation materials—complete an entire work cycle with Claude Code.

From Midjourney Creation to CapCut Editing! Complete AI Video Production Workflow Ready for Immediate Professional Use

A course that breaks down the barriers to 3D printing and provides an easy, simple introduction to 3D modeling! From tool functions to utilizing Create Form, let's create your own design accessories with a 3D printer.

Reading data turned into money! Even payment receipts thrown in the trash can lead to sales. If you want to turn the data that fills your daily life into results, try developing your data literacy.

A complete roadmap for obtaining the Big Data Analysis Engineer certification! We provide a systematic learning process for passing the exam, from data analysis beginners to experts.

First steps with Claude AI: Doing it right from the start for immediate practical use! If you want to work smarter, start with Claude AI.

You still haven't started studying data analysis...? Do you... think you're something special? 😦 Data analysis is no longer an option, it's a must! Master data analysis with Microsoft Campus lectures and start living your best life!

Write meeting minutes, build apps, and even create videos—all on a single platform. Become an AI multiplayer with Google AI Studio!

The era of building things yourself is over; now is the era of delegation. With Codex’s simple instruct-check-refine loop, turn your ideas into real results.

Have you ever thought, "I wish I had Iron Man's perfect assistant, Jarvis..."?! Complete everyone's Jarvis to help you handle your work wisely!

A course where anyone—from general users unfamiliar with programming to office workers looking to simplify their tasks—can learn how to create data processing rules, merge multiple documents, and easily automate workflows with just a few mouse clicks!

Now is the time to answer based on data rather than experience! If you quantify reliability with statistical knowledge and present it as evidence, your persuasiveness will go up infinitely!

Midjourney, the premier tool for image-generating AI! From basic usage to real-world application through practical design projects, all in one go!

From the design of analysis models to advanced analysis techniques, a big data analysis certification that even non-majors can start right away!

Notes keep piling up, but work only gets busier. Structure your notes with Obsidian and transform your workflow to be faster and easier.

Turn your dormant "notebook" into an "AI Workspace" that works on its own! Connect Notion DB with agents to complete a system where repetitive tasks run themselves.

Prepare thoroughly for your exams with the latest past papers for all subjects! Focused strategies for core concepts in each subject, served right to you!

Data analysis is complete with this one tool. Get started with Orange AI data analysis without coding!

A course where you can create programs for running a blog using Python and generate additional income through sales and branding.

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

The most complete bible for passing all coding tests.

From Python fundamentals to practical data analysis! You will learn practical Python skills for processing, visualizing, and analyzing data while solving business problems.

RUR-PLE is an educational software created to help students learn software development more easily using Python. Here, you will learn what can be done with software and develop computational thinking skills through simple hands-on exercises.

From the basics of Numpy and Pandas to data preprocessing, visualization, and crawling, all in one place! This is an introductory Python course for data analysis.

Learn how to use various libraries and acquire the theory and knowledge necessary to create related applications through Python, the easiest programming language to learn and the most widely used in a variety of fields.

You can understand the theoretical operating principles of the Kalman Filter through easy examples.

This course provides a complete introduction to programming with Python. You will start from the very basics and gradually build up to writing more advanced scripts and solving real-world coding challenges. With step-by-step explanations, practical exercises, and projects, this course is perfect for anyone looking to start their coding journey or strengthen their foundation in Python.

1. A practice-oriented lecture designed to help you pass the AICE Associate, Korea's only nationally recognized AI certification. 2. Learn to the level of performing data analysis and AI modeling based on Python.

Let's find out how to automate tasks using Python!

This is a free lecture from TedNote's 'Note Series'. This lecture is intended for Python beginners. We provide a separate e-book textbook so that you can learn even if you follow the daunting Python study. You can find more lectures on the YouTube channel 'TedNote'.

This course is for those preparing for the CosPro Level 1 exam, covering the COS Pro Level 1 sample problems released by the exam organizer, YBM Net Co., Ltd.

If you are planning a service, a website is an essential element. Of course, beyond services, most current program infrastructures operate based on the web. The purpose of this course is to learn how to create a website using Python, which is considered one of the easiest programming languages, and to set it up for actual operation.

I recommend this to those who want to possess their own technical skills and those who want to learn web development step-by-step. We teach everything starting from the history of web browsers and languages.

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.

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.

We present various clean coding techniques.

When you learn machine learning, you learn how to improve accuracy. But the moment you try to put that model onto an actual chip, questions no one has answered remain. How many multiplications does this model perform? How much does it need to remember, and for how long? Can the chip specifications you are targeting handle those requirements? Machine learning textbooks talk about accuracy, and semiconductor textbooks talk about circuits, but materials that bridge the gap between them are rare. I repeatedly encountered this gap while implementing RISC-V CPUs and NPUs on FPGAs. The model with the highest accuracy often turned out not to fit on the board. In this course, you will build six algorithms directly in Python, measuring the number of multiplications, comparisons, memory usage, and accuracy each time. Then you will convert those figures into the resources of an actual FPGA board. Saying that something requires a certain number of multiplications is not enough to gauge its size, but knowing that it uses a certain percentage of the board makes the decision clearer. After nine Labs, when the six models are brought together in a single table, an unexpected picture emerges. We spent nine lessons counting multiplications, but multiplications were not what held us back. After that, we reduce floating-point values to integers, manage bit widths, and even establish criteria for evaluating the circuit. You do not need an FPGA board. The course is conducted entirely in Python, and the board is used only as a reference for converting the measurements.

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.