Introduction to Machine Learning on AWS


LP Box Courses 4 Video Courses
LP Box quiz 1 Quiz Session
LP Box Lab 3 Hands-on Labs
Duration 5h 19m

This learning path provides an introduction to Machine Learning concepts with a blend of instructional courses, quizzes, and hands-on labs.

We begin with an introduction to the concepts of machine learning. You will then learn how to implement The Amazon Machine Learning services to create and use machine learning models. 

Next, we apply a machine learning model in a hands-on lab to forecast flight delays using the Amazon Machine Learning service.

The learning path then provides a closer examination of Deep Learning and neural networks. The learning path includes two Labs where you will get hands-on experience working with neural networks. The “CPU vs GPU” lab highlights the performance benefit of training a neural network on a GPU. The “MXNet Style Images” Lab demonstrates an interesting use case in which a neural network can be utilized.

There is an assessment exam at the end of the learning path to help assess and validate your understanding of machine learning on AWS. 

Intended Audience
This learning path is suited to anyone interested in getting started with machine learning concepts and services. 

Learning Objectives 
By completing this learning path you will be able to:

  • Recognise and explain the core concepts of machine learning.

  • Explain and apply the Amazon machine Learning service and Amazon distributed machine learning services.

  • Explain and apply supervised and unsupervised learning, classification and regression, algorithms, deep learning and deep neural networks on AWS.

Having an understanding of cloud concepts will help with your assimilation of this content. If you are new to cloud computing I suggest completing the What is Cloud Computing Course first. 

This learning path includes 5 hours of High Definition video,  3 hands-on labs, quizzes and an assessment exam. 

We welcome all feedback so please direct any comments or questions on this course to us at 

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This course provides an overview of the "Introduction to Machine Learning on AWS” Learning Path. This is an introductory level learning path designed to help you understand Machine Learning. Machine Learning in recent years has become very much a mainstream technology, being successfully applied in many different industries. Many of our current day activities are empowered behind the scenes with ...


Overview In this course you'll learn about Machine Learning and where it fits within the wider Artificial Intelligence (AI) field. The course proceeds with a formal definition of Machine Learning, and continues on with explanations for the various machine learning and training techniques. We review both Supervised and Unsupervised learning, showcasing the main differences between each type of ...


When we saw how incredibly popular our blog post on Amazon Machine Learning was, we asked data and code guru James Counts to create this fantastic in-depth introduction to the principles and practice of Amazon Machine Learning so we could completely satisfy the demand for ML guidance. If you've got a real-world need to apply predictive analysis to large data sources - for fraud detection or ...


Lab Overview Amazon Machine Learning provides an easy-to-use interface for creating certain types of machine learning models. This Lab uses Amazon Machine Learning to create a regression model. Regression models predict a continuous variable, as opposed to a set of classes that are predicted by classification models. You will use US Department of Transportation flight data to forecast flight ...


Lab Overview Graphics processing units (GPUs) and other hardware accelerators can dramatically reduce the time taken to train complex machine learning models. In this lab, you will take control of a p2.xlarge instance equipped with an NVIDIA Tesla K80 GPU to perform a CPU vs GPU performance analysis for Amazon Machine Learning. The instance is based on the AWS deep learning AMI that comes with ...


Lab Overview Neural networks have been used for many applications throughout the deep learning revolution. In this Lab, you will use the AWS Deep Learning AMI using a GPU instance (p2.xlarge). You will perform neural style transfers - an algorithm for combining the content of one image with the style of another image. This process involves using convolutional neural networks (CNN). The code you ...


This course provides a quick review and summary for what was learnt during the "Introduction to Machine Learning on AWS" Learning Path.


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Introduction to Machine Learning on AWS
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