说明
"Artificial intelligence (AI) has made a huge impact on making things, bringing with it radical changes in the way things are designed, made, and used. This class will demonstrate how to leverage Amazon Web Services to build, simplify, and streamline intelligent applications for the construction and manufacturing industries. We will walk through machine learning model deployment that can result in 2x better performance on resource constrained platforms such as mobile, desktop and edge devices (IoT).
You will walk away from this Forge class with an understanding of how you can use AWS AI/ML services to accelerate innovation and time to market, and to develop new business models."
主要学习内容
- Learn how to utilize Amazon SageMaker for building machine learning models
- Learn how to train machine learning models once and run them anywhere: in the cloud, desktop, mobile, and at the edge
- Discover innovative approaches to introduce intelligence in applications through AI/ML
- See how easy it is to build, train and deploy machine learning models
讲师
Thomas JonesTom “Elvis” Jones is a Solutions Architect with Amazon Web Services who spends his time focusing on the complex challenges of our most strategic partners in the the Design, Engineering, and Manufacturing space. His career has spanned both the hardware and software sides of the house, including work at Red Hat, Transmeta, and Pratt & Whitney, giving Tom an extremely broad technical experience across multiple industries and verticals. He is a whitepaper author, a patent holder, a training material builder, a DevOps expert, an active Maker, a mountain biker, and above all, a passionate technologist. He has been known to go far out of his way for pinball and fondly recalls playing "Adventure" on an ADDS Viewpoint ASCII terminal.
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