Introduction to Machine Learning

• What is Artificial Intelligence?
• What is Machine Learning?
• What is Deep Learning?
• Understanding Neural Networks
• Machine Learning Algorithms Explained 

Amazon AI Services: Computer Vision

• Introduction to Amazon Rekognition
• Introduction to AWS DeepLens
• Hands-on Rekognition: Automated Video Editing
• Deep Dive on Amazon Rekognition

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. 

Amazon AI Services: NLP

• Introduction to Amazon Comprehend
• Introduction to Amazon Comprehend Medical
• Introduction to Amazon Translate
• Introduction to Amazon Transcribe
• Deep Dive with Amazon Transcribe

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. 

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. 

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.