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AI Engineer - Learn how to integrate AI into software applications
Overview
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This workshop guides learners through building a complete tinyML application: collecting sensor data, training and validating a compact model, quantizing it for embedded use, and deploying it to an MCU. The project includes classification, anomaly detection, and model drift.
Syllabus
Introduction
Questions
Project Setup
Adding Sensor Data
Processing Data
Validation Results
Quantizing Results
Gazelle Classification
Anomaly Detection
Model Drift
Deploy to device
Impulse source code
Demo
Conclusions
Taught by
tinyML