An Overview of AI on the AWS Platform

An Overview of AI on the AWS Platform

AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning. For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale. Launch instances of the AMI, pre-installed with open source deep learning engines (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances. 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.

When: June 20 | 10:30 AM - 11:10 AM PT | 1:30 PM - 2:10 PM ET

Learning Objectives:
• Learn about the breadth of AI services available on the AWS Cloud
• Gain insight into Amazon Lex, Amazon Polly, and Amazon Rekognition
• Learn more about why Apache MXNet is the deep learning framework of choice for AWS

Who Should Attend: Data Scientists practitioners, Machine Learning practitioners, Deep Learning practitioners, Data Science students, Managers and Executives interested in deploying deep learning environments, anyone in a related field willing to know more about deep learning.

Speakers: Asif Khan, Solutions Architect, AWS

Register for the Webinar