4.58 out of 5
4.58
25 reviews on Udemy

Machine Learning and Big Data Analytics with AWS

Athena|CloudSearch|Kinesis|QuickSight|Comprehend|Lex|Polly|Transcribe|Translate|CelebrityRekog|FacialAnalysis &many more
Instructor:
Pranjal Srivastava
609 students enrolled
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 Kinesis for easily collecting, processing, and analyzing video and data streams 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.

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.

Machine Learning and Analytics with AWS

1
Introduction

Analytics(Athena)

1
Athena
2
Project Athena Part 1
3
Project Athena Part 2
4
Project Athena Part 3
5
Project Athena Part 4

Analytics(CloudSearch)

1
CloudSearch
2
Practical:CloudSearch Part 1
3
Practical:CloudSearch Part 2
4
Practical:CloudSearch Part 3

Analytics(ElasticSearch)

1
ElasticSearch

Analytics(Kinesis)

1
Kinesis
2
Practical:Kinesis
3
Practical:Kinesis(python boto3)

Analytics(AWS Quicksight)

1
Quicksight

Introduction(AWS AI)

1
Introduction

ML(Amazon Comprehend)

1
Amazon Comprehend
2
Practical:Amazon Comprehend

ML(Amazon Lex and Amazon Polly)

1
Amazon Lex Part 1
2
Amazon Lex Part 2
3
Amazon Polly
4
Project ChatBot
5
Practical:Amazon Polly

ML(Amazon Rekognition)

1
Amazon Rekognition
2
Object and scene detection
3
Object and scene detection(Practical)
4
Facial analysis
5
Facial analysis(Practical)
6
Celebrity recognition
7
Celebrity recognition(Practical)
8
Face comparison
9
Face comparison(Practical)
10
Text in image
11
Text in image(Practical)
12
Video analysis

ML(Amazon Transcribe and Translate)

1
Amazon Transcribe
2
Amazon Translate
3
Practical:Amazon Transcribe
4
Practical:Amazon Translate

ML(Amazon SageMaker and AWS DeepLens)

1
Amazon SageMaker
2
AWS DeepLens

Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer)

1
Amazon Machine Learning(Overview)
2
ML 1 -Prepare Your Data
3
ML 2-Create a Training Datasource
4
ML 3-Create an ML Model
5
ML 4-Use the ML Model to Generate Predictions
6
ML 5-Clean Up
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Includes

4 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion