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What you will learn

Learn the fundamental concepts of natural language processing

Learn how to use AWS NLP services like Comprehend, Transcribe, Translate, Polly and much more

Learn how to do sentiment analysis of a phrase

Learn to translate text into different languages

Learn to create voice enable applications using Transcribe and Polly

Learn how to create text to speech and speech to text functionality

Learn to build NER – Named entity recognition

Learn to create and use POS tagging

Learn to use AWS SDK for Python with Boto3 library

Description

Natural Language processing and Computer Vision are indispensable domain in Artificial Intelligence, NLP that helps machine understand, interpret, manipulate and respond to human language whereas Computer Vision helps in extraction of information and insights from an images and videos.

In this course, you will learn about Natural language processing & Computer Vision and it’s application with the help of AWS Comprehend, Translate, Transcribe, Rekognition and Polly.

 


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  • What is AWS Comprehend ?

    Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to identify the language of the text, extract key phrases, places, people, brands, or events, understand sentiment about products or services, and identify the main topics from a library of documents.

     

  • What is AWS Translate ?

    Amazon Translate is a neural machine translation service that enables to translate between a source language and a target language .

     

  • What is AWS Transcribe ?

    AWS transcribe service that helps to add speech to text functionality into the applications.

     

  • What is AWS Polly ?

    Amazon Textract is a machine learning (ML) service that transform text into human voice.

     

  • What is AWS Rekognition?

    Amazon Rekognition is a service that makes it easy to add powerful visual analysis to your applications. Rekognition Image lets you easily build powerful applications to search, verify, and organize millions of images. Rekognition Video lets you extract motion-based context from stored or live stream videos and helps you analyze them.

English
language

Content

Introduction

Introduction

Creating Frontend and backend for web application

Build frontend for ML Application
Build Backend for ML Application

Translation ML app

Add NLP task (translation)
Demo: Translation ML app

Sentiment Analysis ML app

Creating Sentiment Analysis ML app
Demo: Sentiment Analysis ML app

POS tagging for NER (Named Entity Recognition) , word classification

POS tagging ML App

Named Entity Recognition

Detect entity

Transcribe (Speech to Text)

Uploading audio file to S3 bucket
Creating Transcribe job
Understanding ASR output
Adding transcribe feature into web application
Demo: Transcribe ML app

Polly

Creating Polly function
Adding Polly function into main application
Demo: Polly ML App

AWS Reokgnition

Creating the frontend of Keyword Generator App
Generating keywords using python script
Creating Upload function
Demo: Keyword Generator application
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