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Deep Learning on AWS
Deep Learning on AWS
Duration
1 Day
Course
AWS-170
Available Formats
Classroom Training, Online Training
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Course Description
Overview
In this course, you’ll learn about AWS’s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You’ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You’ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS.- Duration: 1 day
Objectives
Upon completion of the Deep Learning on AWS course, students will be able to:
- Define machine learning (ML) and deep learning
- Identify the concepts in a deep learning ecosystem
- Use Amazon SageMaker and the MXNet programming framework for deep learning workloads
- Fit AWS solutions for deep learning deployments
Audience
This course is intended for:
- Developers who are responsible for developing deep learning applications
- Developers who want to understand the concepts behind deep learning and how to implement a deep learning solution on AWS Cloud
Prerequisites
-
We recommend that attendees of this course have:
- A basic understanding of ML processes
- Knowledge of AWS core services like Amazon EC2 and knowledge of AWS SDK
- Knowledge of a scripting language like Python
Topics
Day One
Module 1: Machine learning overview
- A brief history of AI, ML, and DL
- The business importance of ML
- Common challenges in ML
- Different types of ML problems and tasks
- AI on AWS
- Introduction to DL
- The DL concepts
- A summary of how to train DL models on AWS
- Introduction to Amazon SageMaker
- Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model
- The motivation for and benefits of using MXNet and Gluon
- Important terms and APIs used in MXNet
- Convolutional neural networks (CNN) architecture
- Hands-on lab: Training a CNN on a CIFAR-10 dataset
- AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk)
- Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition)
- Hands-on lab: Deploying a trained model for prediction on AWS Lambda
Related Courses
-
The Machine Learning Pipeline on AWS
AWS-185
- Duration: 4 Days
- Delivery Format: Classroom Training, Online Training
- Price: 2,700.00 USD
-
Practical Data Science with Amazon SageMaker
AWS-175- Duration: 1 Day
- Delivery Format: Classroom Training, Online Training
- Price: 675.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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