AUTONOMOUS MACHINES
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Date: Thursday, July 18, 2019
Time: 11:00am – 12:00pm PT
Duration: 1 hour

Join us for this engaging, informative webinar and live Q&A session to find out more about how to use AWS ML services and AWS IoT Greengrass to develop deep learning models and deploy on the edge with NVIDIA Jetson Nano. During this webinar we will create a sample deep learning model, set up AWS IoT Greengrass on Jetson Nano and deploy the sample model on Jetson Nano using AWS IoT Greengrass.

By attending this webinar, you'll learn:
  • Use AWS ML Services to build a deep learning computer vision model
  • Prepare and setup NVIDIA Jetson Nano for AWS IoT Greengrass
  • Leverage AWS IoT Greengrass to deploy models at the edge with NVIDIA Jetson Nano
Join us after the presentation for a live Q&A session.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speaker

Mahendra Bairagi

Artificial Intelligence (AI) and Machine Learning (ML) specialist solutions architect, Amazon Web Services

Mahendra Bairagi is an Artificial Intelligence (AI) and Machine Learning (ML) specialist solutions architect for Amazon Web Services, working on all things IoT, AI ML, Robotics, and Cloud. For over 25 years Mahendra has been at the center of technology, data and people and has the pleasure of working with machine learning for vision-based technologies with AWS. Mahendra believes technology, fun, and passionate people can build things that make a difference.

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Date & Time: Wednesday, April 22, 2018