Edge AI for Microcontrollers

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

• Understand edge AI fundamentals and machine learning theory
• Apply AI to embedded systems using sensor and vision data
• Design models fitting microcontroller hardware constraints
• Deploy efficient AI models on edge devices

• Basic familiarity with AI and machine learning concepts
• Readiness to engage in hands-on exercises