Microbit & Maqueen Creative Convergence Project (Microbit, Maqueen)

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

Let's build the skills to develop web applications using React and cultivate the capability to apply them in practice!

Let's understand the major algorithms of machine learning and deep learning, and get to know artificial intelligence!

Understand and learn about Artificial Intelligence and AI ethics, and strengthen your AI digital capabilities by integrating them with your own field of study!

Basic manners, etiquette, and communication skills training to foster global leaders leading the era of the Fourth Industrial Revolution.

Let's learn various data structures and algorithms and develop practical skills by implementing them through programming!

Let's design, implement, and develop while learning the basic and object-oriented concepts of the C++ language!

Let's practice learning how to translate real-life and major-related problems into actual computer programs and utilizing Python-based AI tools!

Let's cultivate professional expertise in programming, algorithms, and statistical analysis!

Let's acquire the Python coding skills necessary for artificial intelligence by learning the basics of the Python programming language!

Let's experience collaborative application development in a Linux shell and open-source software environment, and set up the development environment required for coding!

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

Experience text-based coding through block coding and let's control an Arduino!

Let's understand machine learning and deep learning model algorithms by using Keras!

It improves logical thinking skills, fosters the ability to understand how to use programming tools, and develops the capacity to design algorithms for problem-solving.

Java Programming Based on Object-Oriented Concepts for Computer Science Majors

Learn machine learning techniques using Python and improve your ability to extract information from real-world data and develop predictive models!

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

Let's build a solid foundation in Python and solve data analysis problems!

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

Are you a digital talent interested in the Internet of Things (IoT)? Let's get started with IoT through Arduino!

Are you a digital talent interested in coding and the Internet of Things (IoT)? Start your journey into programming with MicroPython!

Feeling stuck on how to transition from beginner to intermediate IoT hardware learning? We provide a clear direction on how to proceed with your studies.

--- Learning a technology means reclaiming the choices in your own life --- You may have connected an ESP32 development board and sensors before, but the process of developing a jumper-wire experiment into a complete device can feel daunting. There is a great deal of information online about circuit design, PCB fabrication, sensor control, and BLE and Wi-Fi communication. However, connecting this scattered information and completing a board that actually works requires a great deal of trial and error. In this course, you will design and build an ESP32-based sensor board yourself. You will configure the power and firmware download circuits, connect temperature and humidity and light sensors, design a PCB with KiCad, and order it for fabrication. Once the board is complete, you will upload firmware to it and transmit sensor data externally via BLE and Wi-Fi. By the end of the course, you will be able to go beyond simply assembling development boards and sensor modules: you will understand and be able to modify circuits and PCBs to suit your own purposes. The project completed in the course can be reused as a starting point for new projects such as environmental monitoring devices, smart home devices, educational kits, and IoT prototypes. Even in an era when generative AI can rapidly create digital content, physical information such as temperature, humidity, light, and movement in the real world can only be obtained through sensors and hardware. The ability to collect data with a device you built yourself and connect it to a network gives you the power to turn ideas into real-world systems. This course will be helpful for: * Those who have used Arduino or ESP32 development boards but are new to PCB design * Those who want to turn a sensor project made with jumper wires into a single complete board * Those who want to learn KiCad by following an actual ESP32 project * Those who want to build a device that collects sensor data and transmits it via BLE and Wi-Fi * Makers and educators developing environmental monitoring, smart home, or educational hardware * Aspiring entrepreneurs preparing their own IoT products or prototypes * Developers and content creators who want to analyze or process data collected from the real world or use it with AI models Move from being someone who uses development boards to someone who designs their own boards. This course does not merely teach you how to use sensors. It is a course where you experience the entire process of turning an idea into a circuit, turning the circuit into a PCB, and connecting the completed hardware to a network.

Building a smart factory is difficult with theory alone, isn't it? I will show you how to apply it in the field using the IoT and SCADA practical know-how I've experienced firsthand.

This is a practical course for students and job seekers who want to become embedded IoT developers. Through a Smart Lock project based on Arduino IoT Cloud, you will directly implement sensor control, RFID authentication, WiFi communication, cloud dashboards, OTA, and notification functions, experiencing the latest Edge IoT development trends all at once.