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    Deep Learning on AWS - 1 Day Instructor-Led Training

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    In this course, you’ll learn about AWS’s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works.
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    Deep Learning on AWS - 1 Day Instructor-Led Training

     Info

    Overview

    Course Overview

    In this 1 day Instructor-let training, 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.

    Start your AWS Machine Learning journey by accessing Official AWS e-Learning for FREE. Learn What is Machine Learning, AWS Foundations: Machine Learning Basics, The Machine Learning Process and more - GET STARTED 

    Level: Intermediate

    Duration: 1 Day

    Delivery Type: Instructor-Led Training

    Course Objectives

    • Define machine learning and Deep Learning
    • Identify the concepts in a Deep Learning ecosystem
    • Leverage MXNet programming framework for Deep Learning workloads
    • Fit AWS solutions for Deep Learning deployments

    Prerequisites

    Required

    • 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 Go For This Training?

    • 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 Cloud

    Course Outline

    Day 1

    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

    Module 2: Introduction to deep learning

    • 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

    Module 3: Introduction to Apache MXNet

    • 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

    Module 4: ML and DL architectures on AWS

    • 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

    Highlights

    • The Deep Learning on AWS training is recommended for earning the AWS Certified Machine Learning - Specialty certification.

    Details

    Delivery method

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    To learn more about our AWS trainings please visit NetCom Learning  or do not hesitate to contact our Sales Team: aws@netcomlearning.com  | (888)563-8266