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Machine Learning with AWS

person icon Pranjal Srivastava

4.1

Machine Learning with AWS

Sagemaker|Comprehend|DeepLens|Lex|Polly|Transcribe|Translate|Celebrity recognition|ObjectAndSceneDetection|TextInImage

updated on icon Updated on Feb, 2024

language icon Language - English

person icon Pranjal Srivastava

category icon Development,Machine Learning,Data Science

Lectures -42

Duration -3 hours

4.1

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Course Description

In this course we will learn and practice all the services of AWS Machine Learning which is being offered by AWS Cloud. There  will be both theoretical and practical section of each AWS Machine Learning services.This course is for those who loves machine learning and wanted to build application based on cognitive computing , AI and ML.

You could integrate these services in your Web, Android, IoT, Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to custom Speech (with pitch, emotions, etc), Speech to text, Sentimental Analysis on Social media or any textual data.  

Machine Learning Services like-

Amazon Sagemaker to build, train, and deploy machine learning models at scale

Amazon Comprehend for natural Language processing and text analytics

Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa

Amazon Polly to turn text into lifelike speech using deep learning

Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more

Amazon Transcribe for automatic speech recognition

Amazon Translate for natural and accurate language translation

Goals

What will you learn in this course:

  • Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
  • Amazon Comprehend for natural Language processing and text analytics
  • Amazon Sagemaker to build, train, and deploy machine learning models at scale
  • Amazon Polly to turn text into lifelike speech using deep learning
  • Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
  • Amazon Transcribe for automatic speech recognition
  • Amazon Translate for natural and accurate language translation

Prerequisites

What are the prerequisites for this course?

  • Nothing required at all! but if you have a background in computer science or development, it would be beneficial, but not required at all.
  • AWS Account
Machine Learning  with AWS

Curriculum

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

Introduction
1 Lectures
  • play icon Introduction 10:11 10:11
Amazon Comprehend
5 Lectures
Tutorialspoint
Amazon Lex and Amazon Polly
6 Lectures
Tutorialspoint
Amazon Rekognition
17 Lectures
Tutorialspoint
Amazon Transcribe and Translate
6 Lectures
Tutorialspoint
Amazon SageMaker and AWS DeepLens
2 Lectures
Tutorialspoint
Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer
4 Lectures
Tutorialspoint

Instructor Details

Pranjal Srivastava

Pranjal Srivastava

SME of AWS & IBM Cloud

I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.

I have authored 60+ courses on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

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