Deep Learning on AWS
- Course Code GK7375
- Duration 1 day
Course Delivery
Additional Payment Options
-
GTC 10 inc. VAT
GTC, Global Knowledge Training Credit, please contact Global Knowledge for more details
Jump to:
Course Delivery
This course is available in the following formats:
-
Company Event
Event at company
-
Public Classroom
Traditional Classroom Learning
-
Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopCompany Events
These events can be delivered exclusively for your company at our locations or yours, specifically for your delegates and your needs. The Company Events can be tailored or standard course deliveries.
Course Schedule
TopTarget Audience
TopThis course is aimed at:
- 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
Course Objectives
Top- 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.
Course Content
TopIntroduction to Machine Learning
Introduction to Deep Learning
- Lab 1: Setting up a Deep Learning AMI instance and running a multi-layer perceptron neural network model
Introduction to MXNet on AWS
- Lab 2: Running a Convolutional Neural Network (CNN) model to predicting images using CIFAR 10 dataset
Deploying Smart Applications on AWS
- Lab 3: Deploying a Deep Learning model for predicting images using AWS Lambda
Course Prerequisites
Top- 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
- GK7375
- Deep Learning on AWS
- Collaboration
- GK7375 | Deep Learning on AWS | Training Course | Amazon Web Services.
- Amazon Web Services