/Machine-Learning-with-AWS

Learn how you can use the power of cloud services for your own machine learning and artificial intelligence projects

Primary LanguageJupyter NotebookMIT LicenseMIT

Machine Learning with AWS

This course is the right place to start if you are interested in learning useful artificial intelligence and machine learning skills using Amazon Web Services, the most popular and powerful cloud platform. You will learn in detail how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation, understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, to processing huge numbers of images fast, and creating machine learning models, you will learn all that there is to know about using AWS to your advantage. By the end of this course, you will have the skills to efficiently use AWS in your machine learning and artificial intelligence projects..

What you will learn

  • Get up and running with machine learning on the AWS platform
  • Analyze unstructured text using AI and Amazon Comprehend
  • Create a chatbot and interact with it using speech and text input
  • Retrieve external data via your chatbot
  • Develop a natural language interface
  • Apply AI to images and videos with Amazon Rekognition

Hardware Requirement

For an optimal student experience, we recommend the following hardware configuration:

  • Processor: Intel Core i5 or equivalent
  • Memory: 4GB RAM
  • Storage: 35GB available space

Software Requirement

You’ll also need the following software installed in advance:

  • OS: Windows 7 SP1 64-bit, Windows 8.1 64-bit or Windows 10 64-bit
  • Browser: Google Chrome, Latest Version
  • An AWS account