AI edge engineer

Overview

Embark on a transformative journey into the realm of AI with the "AI Edge Engineer" course, a sophisticated educational experience crafted in collaboration with the prestigious University of Oxford. This comprehensive program, brought to you by Microsoft Learn, delves deep into the intersection of Artificial Intelligence and edge computing, providing learners with an extensive curriculum spread across 17 meticulously designed modules.

• Module 1-17 Overview: From evaluating Azure IoT's capabilities in large-scale IoT deployments to launching sophisticated cloud-based IoT solutions, and from configuring IoT devices to deploying cutting-edge computer vision solutions using Azure IoT Edge, this course covers a wide spectrum. Learn about IoT Hub, IoT Edge, Azure Functions, cognitive services, MLOps, Azure Sphere, and Azure RTOS through practical exercises. Each module is filled with actionable insights aimed at equipping you with the knowledge to build, deploy, and manage IoT solutions that leverage the cloud and edge computing for enhanced performance and security.
• "Produced in partnership with the University of Oxford – Ajit Jaokar Artificial Intelligence: Cloud and Edge Implementations course" underscores the course's caliber, merging Oxford's academic excellence with Microsoft's technological leadership.

Spanning various categories such as Artificial Intelligence, MLOps, and Image Classification, this course is designed not just for learners seeking to fortify their understanding of AI at the edge but also for professionals aspiring to implement secure, scalable, and efficient IoT solutions. Whether you're interested in deploying object detection solutions using Live Video Analytics on IoT Edge or integrating cognitive speech services into Azure functions, this program offers a rich learning path catered to advance your career in the rapidly evolving AI landscape.

Syllabus

Taught by

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united states