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AWS Machine Learning and Artificial Intelligence for HigherEd Webinar
Wednesday, September 13th, 2017
10:00am Pacific Time/1:00pm Eastern Time
Presented by Amazon Web Services
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In this webinar, you will:
- Explore the Artificial Intelligence (AI) portfolio of services from AWS, including Amazon Rekognition, Amazon Polly, and Amazon Lex.
- Learn about a set of AI platforms which remove the undifferentiated heavy lifting associated with deploying and managing AI training and model hosting; Amazon Maching Learning and Amazon EMR.
- Learn about AI engines, a collection of open-source, deep learning frameworks for higher ed. researchers who want to build cutting edge, sophisticated intelligent, pre-installed and configured on a convenient machine image.
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Presenter:Ben Snively, Sr. Solutions Architect, Amazon Web Services
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Register for the AWS Machine Learning and Artificial Intelligence for HigherEd Webinar Below
Registration for this event has ended. |
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We will start the webinar by having an interactive discussion to introduce the Artificial Intelligence (AI) portfolio of services. Specifically, we will cover Amazon Rekognition for image and facial analysis, Amazon Polly for text-to-speech, and Amazon Lex, an automatic speech recognition and natural language understanding service for building conversational chat bots.
From there, we will cover a set of AI platforms which remove the undifferentiated heavy lifting associated with deploying and managing AI training and model hosting: Amazon Machine Learning (with both batch and real-time prediction on custom linear models) and Amazon EMR (with Spark and Spark ML support).
Finally, we will review AI engines, a collection of open-source, deep learning frameworks for higher education professionals who want to build cutting edge, sophisticated intelligent systems, pre-installed configured on a convenient machine image. Engines such as Apache MXNet, TensorFlow, Caffe, Theano, Torch, and CNTK provide flexible programming models for training custom models at scale.
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