Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning (DL) solutions on Amazon Web Services (AWS). The training will detail how deep learning is useful and explain its different concepts. This course also teaches you how to run your models on the cloud using Amazon SageMaker, Amazon Elastic Compute Cloud (Amazon EC2)-based Deep Learning Amazon Machine Image (AMI) and MXNet framework. In addition, you will gain a better understanding of deploying your deep learning models using AWS services like AWS Lambda and Amazon EC2 Container Service (Amazon ECS) while designing intelligent systems on AWS, based on Deep Learning.
Deep Learning on AWS Delivery Methods
Official AWS training curriculum
Attend in-class or online
Deep Learning on AWS Course Benefits
Define machine learning and deep learning
Identify the concepts in a deep learning ecosystem
Leverage Amazon SageMaker and MXNet programming framework for deep learning workloads
Fit AWS solutions for deep learning deployments
AWS Deep Learning Course Outline
AWS Deep Learning Course Information
Software Tools
AWS
Requirements
Basic understanding of machine learning processes
Basic understanding of AWS core services like Amazon EC2 and knowledge of AWS SDK
Basic knowledge of a scripting language e.g. Python
Who Should Attend This Course
Developers responsible for developing Deep Learning applications
Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS
AWS Deep Learning Course Outline
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