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IoT + AI Learning Kit Beginner Level, Intermediate Level, Advanced Level, Educational Course

Educational materials for learning the implementation exercises of "anomaly detection" using AI.

This is a learning kit that allows you to experience the application of AI in IoT systems using the widely used Raspberry Pi for IoT purposes as teaching material. This material adopts the implementation of "anomaly detection" using AI as the exercise material. It is designed to be utilized as a practical first step in building systems in schools, factories, and other settings. We encourage you to make use of it. There are beginner and intermediate courses that are easy to teach from the instructor's perspective. The teaching material adopts the implementation of "anomaly detection" using AI as exercise material. Text: 1. Overview of AI (Artificial Intelligence) History of AI, types, overview, learning mechanisms, development tools 2. Anomaly Detection and Machine Learning Overview and mechanisms of anomaly detection, utilization of deep learning 3. Practical Implementation of Anomaly Detection Systems Practical exercises using voice data for deep learning, system construction, and inference execution experience 4. Reference Information for Information Gathering Explanation of the latest trends in AI that are evolving daily and key points for information gathering Teaching Material: (Raspberry Pi / sensors / power supply, etc.) Language: Python Instructor: Web-compatible IoT + AI teaching material (optional)

  • Technical Seminar

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