This course aims to teach learners about the intersection of Machine Learning (ML) and the Internet of Things (IoT), focusing on Edge ML. The goal is to understand how to leverage ML to analyze sensor data on IoT devices without relying on cloud computing, leading to quicker insights, enhanced security, and predictive capabilities. The course covers the state of the art in Edge ML and IoT, providing practical guidance for developers to start implementing these technologies effectively. The teaching method involves exploring theoretical concepts and discussing hands-on approaches for implementation. This course is intended for developers and individuals interested in incorporating ML into IoT systems while prioritizing security and efficiency.
Overview
Syllabus
ML and the IoT: Living on the Edge - Brandon Satrom
Taught by
NDC Conferences