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.
Applied Learning Project
Learners will build a number of edge AI projects during their journey, covering use-cases from motion detection in accelerometer data to keyword spotting in audio and object detection in images. These applied projects give learners the opportunity to put into practise the design methodologies learned for building edge AI systems.
