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Building Scalable Edge ML Solutions with NXP i.MX Applications Processors and AWS Cloud Services

Building Scalable Edge ML Solutions with NXP i.MX Applications Processors and AWS Cloud Services

About This Training

Machine learning (ML) technology is fast becoming the heart of differentiated IoT devices, often defining the smart capabilities delivered. ML model monitoring, maintenance and updatability are essential to ensure that these smart capabilities continue to deliver the value promised throughout the lifecycle of the device, and require an MLOps strategy tailored to IoT scale.

In this session, NXP and AWS explore how to build and deploy ML solutions to many edge devices at scale and securely support MLOps for maintaining models through their lifecycle. You will learn how to address common MLOps challenges in the context of an IoT application running across multiple embedded devices.

Presentation

Building Scalable Edge ML Solutions with NXP i.MX Applications Processors and AWS Cloud Services

What You Will Learn

Building ML solutions with AWS cloud services such as Amazon SageMaker, AWS IoT Greengrass
Integrating cloud services with edge inference solutions from NXP
Deploying to an edge i.MX 8M Plus device based board
Managing a multi device fleet with Amazon SageMaker Edge Manager

Presented by

Ali Osman Örs
Director of AI/ML Strategy and Technologies, Edge Processing, NXP Semiconductors
Jack Ogawa
Strategic Semiconductor Partnerships, IoT, AWS

时长

52 min

语言

英语

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Additional Resources

eIQ^® ML Software Development Environment

Related Trainings

AI and Machine Learning Training Academy

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