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Machine Learning and Big Data Analytics with AWS (Udemy.com)

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

3.3
40 reviews

Created by: Pranjal Srivastava

Last updated December 2021

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What you will learn

  • 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.

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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.
Who this course is for:
  • Anyone who is curious to experiment with Artificial Intelligence and develop applications or simply interested in exploring AWS Machine Learning and Analytics and its powerful services available on AWS Cloud.
Read More All Levels All Levels product length iconTime: 4.9h

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Instructor Details

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I am passionate developer, machine learning enthusiast, coder and bug fixer. Developed many applications on various platforms including python, java, android, php, etc.
I have worked over cloud on IBM Bluemix, AWS, and Microsoft Azure. Prefer digital marketing and SEO in my free time.
I am IBM certified Python developer.
Created own Programming language in Hindi .
#ILoveIndia
#LoveOpenSource #SmartProgrammer

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Reviews

3.3

40 ratings on Udemy

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Write a review

By Vikram Lalwani

nice tutorial

By Dmitry Slobodyanyuk

Poor sound with voices on background, unnecessary waiting, a lot of reading from screen. Practical lectures mostly based on test data provided by amazon. Not worth it.

2.5 stars just for trying

By Robert Leon

I was curious to learn how we can combine the power of machine learning with big data on cloud.

By Noah Brown

detailed curriculum with sample projects.

By Yuti hirota

Unique course, when it comes to learning Big Data Analytics on amazon cloud, with practical examples and theoretical concepts.

By Biranchi Narayan Nayak

The course syllabus is good.

But its only theoretical, It should include the hands on programming with examples on the AWS console.

By Mrityunjay Pandey

helpful concepts in big data and machine learning

By Dmitry Slobodyanyuk

Poor sound with voices on background, unnecessary waiting, a lot of reading from screen. Practical lectures mostly based on test data provided by amazon. Not worth it.

2.5 stars just for trying

By Robert Leon

I was curious to learn how we can combine the power of machine learning with big data on cloud.

By Rajiv Mohpatra

Good for developing machine learning skills required in the industry.

By Dara Shikoh

Interactive learning experience, there are a lot to learn from this course.

By Sebastian Williams

Instuctor is quite helpful, making it an interactive learning experience. Whenever i asked any doubt related to course, he replied timely.

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Quality Score

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Overall Score : 66 / 100

Machine Learning and Big Data Analytics with AWS
Visit course on Udemy Write a review
  • Video Duration: icon 4.9h
  • Price: $19.99
  • Provider: icon Udemy
  • Updated: icon December 2021
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
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