Computer Vision and NLP with AWS ML and Python Boto3
Build Computer Vision and NLP applications like sentiment analysis, word classification, NER, text extraction and more
IT and Software ,IT Certifications,Amazon AWS
Lectures -21
Duration -1.5 hours
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Course Description
Natural Language Processing and Computer Vision are indispensable domains in Artificial Intelligence, NLP helps machines understand, interpret, manipulate and respond to human language whereas Computer Vision helps in the extraction of information and insights from images and videos.
In this course, you will learn about Natural language processing & Computer Vision and its applications 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 translation 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.
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
- 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 the Boto3 library.
- Learn how to use AWS Rekognition.
Prerequisites
- Before taking this course, if you are already familiar with Machine Learning at a basic level, it would be useful.

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction 01:49 01:49
Natural Language Processing
16 Lectures

Computer Vision
4 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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