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Tiny Machine Learning (TinyML)
6k studentsBEGINNEREnglish
Korshub's take
Machine Learning for Tiny Devices
Most ML courses assume cloud servers; TinyML is different. Learn to train and deploy machine learning on microcontrollers—resource-constrained, low-power, always-on. You'll cover the full pipeline: data collection, Python model training, optimization for memory and compute budgets, and TensorFlow Lite for embedded devices. Practical projects show how to conceive AI applications that live on edge devices, not in data centers. This skill matters increasingly: smart sensors, wearables, and IoT devices need embedded intelligence. A specialized, high-demand niche that bridges the ML and embedded-systems worlds.
About this course
Fundamentals of machine learning, deep learning, and embedded devices. ,How to gather data effectively for training machine learning models. ,How to use Python to train and deploy tiny machine learning models. ,How to optimize machine learning models for resource-constrained devices. ,How to conceive and design your own tiny machine learning application. ,How to program in TensorFlow Lite for Microcontrollers.
Price
$897
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