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Develop Cognitive Application on AWS and Microsoft AZURE

 

What you’ll 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
  • Echo Bot
  • Facebook Chat bot
  • Question and Answer Maker
  • LUIS(Language Understanding)
  • Text Analytics
  • Detecting Language
  • Analyze image and video
  • Recognition handwritten from text
  • Generate Thumbnail
  • Content Moderator
  • Custom Vision
  • Translate
  • Simple chatbot integrate in HTML websites

 

 

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Requirements
  • If you have a background in computer science or development, it would be beneficial.
  • You should have an AWS Account or Microsoft Azure account
  • You should have a Facebook business page
 
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 would build application based on cognitive computing , AI and ML.

Python Quizzes - SmartyBro

5. Complete Quizzes (100%) And Earn Points (3)- Java Questions & Answers (Q&A) – Data Type – Enums Data Type – BigDecimal Data Type – Date & TimeZone and Arrays

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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

As Machine learning and cloud computing are trending topic and also have lot of job opportunities

If you have interest in machine learning as well as cloud computing then this course for you. This course will let you use your machine learning skills deploy in cloud. There are various cloud platform but only few are popular like Azure, AWS, IBM Bluemix and GCP.

Microsoft Azure a cloud platform where we will going to deploy machine learning skills.

In this course you will going to learn following topics

  1. Concept of Machine Learning
  2. Cognitive Services
  3. Text Analytics
  4. Detecting Language
  5. Analyze image and video
  6. Recognition handwritten from text
  7. Generate Thumbnail
  8. Content Moderator
  9. Translateand many more things

ALL THE BEST !!

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 its powerful services available on AWS Cloud.
  • Basic knowledge of web development
  • Minimal level of Azure Services

Develop Cognitive Application on AWS and Microsoft AZURE

 

Learn Complete Machine Learning Bootcamp | AWS


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