Learn NLP with AWS Machine Learning and Python Boto3
Build NLP applications like sentiment analysis, word classification, NER, text extraction, text to speech, speech to text and more with AWS ML and Boto3
IT and Software ,IT Certifications,Amazon AWS
Lectures -17
Duration -1 hours
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Course Description
Natural Language processing is one of the domain in Artificial Intelligence, that helps machines understand, interpret, manipulate, and respond to human language.
We are all seeing more than thousands of Natural language applications such as signboard, menus, email, SMS, webpage, chats, reviews, and so much more in daily life. NLP is everywhere. Natural language is not just about what we see, it also includes human speech as well. There are endless example of natural language applications that can be used in many use cases, such as business and job opportunities.
NLP processes the natural language by combining statistical, machine learning, and deep learning models and derives meaning from it.
In this course, you will learn about Natural language processing and it's application with the help of AWS Comprehend, Translate, Transcribe, and Polly.
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 transforms text into human voice.
Goals
- 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-enabled 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
Prerequisites
What is AWS Comprehend?
What is AWS Translate?
What is AWS Transcribe?
What is AWS Polly?

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction 01:07 01:07
Creating Frontend and backend for web application
2 Lectures

Translation ML app
2 Lectures

Sentiment Analysis ML app
2 Lectures

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

Named Entity Recognition
1 Lectures

Transcribe (Speech to Text)
5 Lectures

Polly
3 Lectures

Instructor Details

Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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