ML at the Edge on Arm: A Practical Introduction

• Core AI and Machine Learning Concepts: Offers a comprehensive comprehension of the practical applications of AI principles and machine learning.

• Machine Learning on Arm Microcontrollers: Provides a comprehensive understanding of the implementation of machine learning on Arm microcontrollers, with a particular emphasis on the acquisition of sensor and peripheral data.

• Artificial Neural Networks and Constrained Environments: Provides an explanation of the fundamentals of Artificial Neural Networks, including Convolutional Neural Networks and Deep Learning, in resource-limited environments.

• Computer Vision Deployment: Provides instruction on the efficient deployment of computer vision models on microcontrollers through the use of CMSIS-NN.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On edX provided by ArmEducationX

Duration: 3�6 hours per week approx 6 weeks

Schedule: Flexible