Machine Learning with AWS Training

AWS Machine Learning Training Outline

• Lesson 1: Introduction to Amazon Web Services

  • The basics of working on AWS using S3.
  • Importing and exporting data.
  • Using the AWS console and identifying the services available for Machine Learning.
  • Create a S3 bucket and import text data into it.

• Lesson 2: Summarize Text Documents using NLP

  • Use Amazon Comprehend to detect the language which a document is written in.
  • Extract information such as entities (persons or places), key phrases (noun phrases indicative of the content), and emotional sentiment from a set of documents.
  • Sample project: Set up a Lambda function to process and analyze the imported text using Comprehend.

• Lesson 3: Perform Topic Modeling and Theme Extraction

  • Understand what business use cases to apply the machine learning algorithm (Latent Dirichlet Allocation (LDA)) that is used for topic modeling.
  • Extract and analyze common themes through topic modeling with Amazon Comprehend.
  • Sample project: Perform topic modeling on a set of documents and analyze the results.

• Lesson 4: Creating Chatbot with Natural Language

  • Explore the basics of chatbots and chatbot design.
  • Set up with the Amazon Lex service and create a sample chatbot to order flowers.
  • Create a custom chatbot which will look up market prices for a given stock.