Edge AI for Microcontrollers

Coursera Certificate USD 49

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About this course

This specialization is intended for engineers of any discipline who want to upskill into edge AI. Throughout the three courses learners will learn the fundamentals of edge AI and how to apply them to sensor-based problems using both time-series and vision data. This specialization also explores how to build and deploy edge AI models for microcontrollers and addresses how to approach designing models for the hardware constraints of tiny devices.

What you'll learn

Design and optimize AI models for microcontroller hardware constraints
Process time-series sensor data for edge AI applications
Implement computer vision models on resource-constrained devices
Deploy trained models to microcontrollers and embedded systems
Approach model architecture decisions based on memory and processing limitations