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Detection Learning Kit Product List

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KED-AE101 "Introduction to AI Using IoT Devices"

KED-AE101 "Introduction to AI Using IoT Devices"

Learn big data processing with AI! Beginner course with practical equipment. A hands-on training material for learning voice/vibration data with AI to perform anomaly detection.

1. Overview of AI (Artificial Intelligence) History of AI / Three Major Classifications of AI / Third AI Boom / Overall Picture of AI Technology Machine Learning / Learning and Inference / Overfitting / Neural Networks / Mechanism of Learning Deep Learning / Tools / Cloud Services 2. Anomaly Detection and Machine Learning What is Anomaly Detection / Use of Deep Learning in Anomaly Detection / Autoencoders Mechanism of Anomaly Detection Using Autoencoders 3. Practical Implementation of Anomaly Detection Systems Practical Deep Learning Using Audio Data Overview of the System / Construction Steps / Files Used in Exercises Data Collection for Learning / Execution of Learning Process / Application of Trained Models / Execution of Inference Process 4. Reference Information for Information Gathering National Initiatives / Rapid Technological Development Books / Study Groups and Seminars / Online Courses Open Data / Competitions YouTube / Social Media / Various Industry Associations

  • Industrial PCs
  • Detection Learning Kit

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

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
  • Detection Learning Kit

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