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Computer Vision and NLP with AWS Machine Learning and Python Boto3

person icon Pranjal Srivastava

4.1

Computer Vision and NLP with AWS Machine Learning and Python Boto3

Build Computer Vision and NLP applications like sentiment analysis, word classification, NER, text extraction, label detection, object detection and more with AWS ML and Python Boto3

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Pranjal Srivastava

category icon Amazon AWS,Python,Development,Data Science and AI ML

Lectures -21

Duration -1.5 hours

4.1

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Course 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.

  • 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.

Goals

What will you learn in this course:

  • 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
  • Learn how to use AWS  Rekognition

Prerequisites

What are the prerequisites for this course?

  • Before taking this course, if you are already familiar with Machine Learning at basic level, it would be useful.
Computer Vision and NLP with AWS Machine Learning and Python Boto3

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
1 Lectures
  • play icon Introduction 01:49 01:49
Natural Language Processing
16 Lectures
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Computer Vision
4 Lectures
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Instructor Details

Pranjal Srivastava

Pranjal Srivastava

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