Smart Field Innovation Implemented with X-SCADA AI

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 skill is about reclaiming the options in your life --- You may have connected sensors to an ESP32 development board before, but the process of evolving a jumper-wire experiment into a finished, complete device can feel daunting. The internet is full of information on circuit design, PCB fabrication, sensor control, and BLE/Wi-Fi communication. However, connecting these scattered pieces of information to complete a functional board requires significant trial and error. In this course, we will design and manufacture an ESP32-based sensor board from scratch. We will configure power circuits and firmware download circuits, connect temperature, humidity, and light sensors, design the PCB using KiCad, and place an order for actual production. Once the board is complete, we will upload firmware and transmit sensor data externally via BLE and Wi-Fi. By the end of this course, you will move beyond simply assembling development boards and sensor modules to understanding and modifying circuits and PCBs for your own purposes. The project completed in this course can serve as a starting point for new projects such as environmental monitoring devices, smart home appliances, educational kits, and IoT prototypes. Even in an era where generative AI rapidly creates 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 devices you built yourself and connect them to a network empowers you to turn ideas into real-world systems. This course is 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 integrated board. * Those who want to learn KiCad by following a real-world ESP32 project. * Those who want to build devices that collect sensor data and transmit it via BLE and Wi-Fi. * Makers and educators looking to develop environmental monitoring, smart home, or educational hardware. * Aspiring entrepreneurs preparing their own IoT products or prototypes. * Developers and content creators who want to analyze and process data collected from reality or utilize it for AI models. Move from being a user of development boards to a designer of your own boards. This is not just a class that teaches you how to use sensors. It is a course where you experience the entire process of turning an idea into a circuit, a circuit into a PCB, and connecting the finished hardware to a network.

This course aims to help learners who are new to ESP32 and IoT development master everything from environment setup and language basics to hardware control and RTOS utilization. The main objectives of this course are as follows: - Acquire the ability to use the ESP32 development environment and basic tools - Understand the C language and ESP-IDF structure - Understand FreeRTOS tasks and basic synchronization methods - Enable hardware control through GPIO, I2C, SPI, and UART - Understand storage and memory structures and implement simple persistent data storage

In this course, you will learn the basics of Raspberry Pi and Python and practice creating simple but essential self-driving car and remote home monitoring projects.

This course aims to understand IoT concepts and develop practical skills through hardware construction and coding using Arduino and Micro:bit.

Finally, I feel that the AI security review (NIS/FSI) checklists, which have been vaguely positioned over the past 7–8 years, are now accurate from a practitioner's perspective, and I have established a clear framework for how to change, establish, and operate the management system. I will explain what AI security is and how it should be improved after June 2026, based on the standards of South Korea's top-tier companies (those with the highest level of information security). (This is not a basic or conceptual explanation*) I have developed this training divided into PART 1 (Basics & Overview) and PART 2 (Advanced & Security Review), so please refer to it.

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.

This course covers practical strategies for leveraging AI in the machinery and metal processing industry to enhance productivity and quality. It analyzes key process data from CNC, welding, cutting, and other operations, explaining how AI technology is applied to reduce defect rates, enable predictive maintenance, and manage worker safety through real-world case studies. Learners will understand AI-based processing optimization methods that can be immediately implemented in the field, from small and medium enterprises to large corporations, and gain insights to realize manufacturing innovation in global competition.

You will experience the process of building an actual web service by combining various AI models such as Kimi, OpenCode, and Codex according to the situation. Beyond simple prompt input, you will learn practical development workflows for collaborating with AI, from requirement definition to code review and service completion, through hands-on practice.