Build Intelligent Applications with Machine Learning on AWS


Build Intelligent Applications with Machine Learning on AWS

Broadcast Date:
September 17, 2018

Level 200 | Service Intro
Artificial intelligence is powering unprecedented innovation across industries - from healthcare to automotive to finance. However, many organizations still struggle with the best approach to data and tools to build intelligent systems. In this session, you’ll learn how to build powerful AI applications on AWS using computer vision and language services, as well as Amazon SageMaker, a fully-managed platform for machine learning that allows you to quickly and easily build, train, and deploy machine learning models at any scale. Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of how to improve scale and efficiency with the AWS Cloud.

Learning Objectives:
• Learn about the breadth of AI services available on the AWS Cloud
• Gain insight into AWS API Services: Amazon Rekognition, Amazon Comprehend, Amazon Polly, Amazon Lex, Amazon Transcribe, Amazon Translate
• Learn about AWS machine learning platform Amazon SageMaker, and supported frameworks such as TensorFlow, Apache MXNet and PyTorch

Suited For: Data Scientists, Machine Learning practitioners, Deep Learning practitioners, Data Science students, Managers/Executives interested in deploying deep learning environments, and anyone in a related field willing to learn more about deep learning

Speaker(s): Shyam Srinivasan, Sr. Product Marketing Manager, AWS

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