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Learn Machine Learning and Big Data Analytics with AWS

person icon Pranjal Srivastava

4.2

Learn Machine Learning and Big Data Analytics with AWS

Athena | CloudSearch | Kinesis | QuickSight | Comprehend | Lex | Polly | Transcribe | Translate | CelebrityRekog | FacialAnalysis &many more

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Pranjal Srivastava

English [CC]

category icon Development,Machine Learning,AWS

Lectures -47

Duration -4 hours

4.2

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Course Description

In this course we will learn and practice all the tools of AWS Analytics and AWS Machine Learning which is being offered by AWS Cloud. There  will be both theoretical and practical section of each AWS Analytics and AWS Machine Learning tools.This course is for those who wanted to groom their analytics skills and machine learning skills .

Analytics plays very important role in the world of big data. There is no use of big data if we can not extract proper or meaningful insights from that. In short more data means better analysis, better analysis means better decision which makes organisation profitable.

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

Analytics tools like

  • Amazon Athena (Querying data instantly and get results in seconds)

  • Amazon CloudSearch (Makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application)

  • Amazon ElasticSearch (Search, Analyze, and Visualize data in real-time.)

  • Amazon Kinesis (Easily collecting, processing, and analyzing video and data streams in real time)

  • Amazon QuickSight (Fast, Cloud-powered BI service that makes it easy to build visualizations and quickly get business insights from your data.)

    This course also contains many practicals to groom your analytics skills.

Goals

What will you learn in this course:

  • 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
  • Amazon Athena for querying data instantly and get results in seconds
  • Amazon CloudSearch makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application
  • Amazon Elasticsearch to search, analyze, and visualize data in real-time.
  • Amazon QuickSight is a fast, cloud-powered BI service that makes it easy to build visualizations and quickly get business insights from your data.
  • Amazon Kinesis for easily collecting, processing, and analyzing video and data streams in real time

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
Learn Machine Learning and Big Data Analytics with AWS

Curriculum

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

Machine Learning and Analytics with AWS
1 Lectures
  • play icon Introduction 04:14 04:14
Analytics(Athena)
5 Lectures
Tutorialspoint
Analytics(CloudSearch)
4 Lectures
Tutorialspoint
Analytics(ElasticSearch)
1 Lectures
Tutorialspoint
Analytics(Kinesis)
3 Lectures
Tutorialspoint
Analytics(AWS Quicksight)
1 Lectures
Tutorialspoint
Introduction(AWS AI)
1 Lectures
Tutorialspoint
ML(Amazon Comprehend)
2 Lectures
Tutorialspoint
ML(Amazon Lex and Amazon Polly)
5 Lectures
Tutorialspoint
ML(Amazon Rekognition)
12 Lectures
Tutorialspoint
ML(Amazon Transcribe and Translate)
4 Lectures
Tutorialspoint
ML(Amazon SageMaker and AWS DeepLens)
2 Lectures
Tutorialspoint
Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer)
5 Lectures
Tutorialspoint

Instructor Details

Pranjal Srivastava

Pranjal Srivastava

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