Deep Learning AWS: Get enrolled for the most demanding skill in the world. AWS Training will make your career a new height. Comprehensive coverage on design and deployment of AWS systems and applications. Extensive coverage on Elastic Load Balancing on multiple EC2 instances. Ensure hands-on experience on data ingress and egress techniques of AWS. Design cost-effective on-premises applications using AWS.
In this course, you will learn cloud-based solutions on the platform. You will learn how to run your models on the cloud using Amazon EC2‒based deep learning Amazon Machine Image (AMI) and Apache MXNet on frameworks. In addition, you will learn how to use Amazon SageMaker and deploy your deep learning models using services like Lambda and Amazon Elastic Container Service (Amazon ECS)—all while designing intelligent systems on Amazon web services.
The AWS Deep Learning AMIs provide machine practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale. You can quickly launch Amazon EC2 instances pre-installed with popular deep learning frameworks and interfaces such as TensorFlow, PyTorch, Apache MXNet, Chainer, Gluon, Horovod, and Keras to train sophisticated, custom AI models, experiment with new algorithms, or to learn new skills and techniques.
Whether you need Amazon EC2 GPU or CPU instances, there is no additional charge for the Deep Learning AMIs – you only pay for the AWS resources needed to store and run your applications.
Choosing an AWS Deep Learning AMI
Even for experienced machine learning practitioners, getting started with deep learning can be time consuming and cumbersome. The AMIs we offer support the various needs of developers.