Deep Learning on AWS
- Course Code GK7375
- Duration 1 day
Course Delivery
Additional Payment Options
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GTC 10 inc. VAT
GTC, Global Knowledge Training Credit, please contact Global Knowledge for more details
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Course Delivery
This course is available in the following formats:
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Company Event
Event at company
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopCourse Schedule
Top-
- Delivery Format: Virtual Learning
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Date:
22 December, 2023
Guaranteed To Run
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 22 December, 2023
- Location: Virtual
Target 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